The State of Translation Automation 2026 · Languages

English to Assamese AI translation quality, cost and speed

What it takes to automate translation from English into Assamese against 10 requirements in three levels: the solutions that meet them, what they cost and how fast they are, from the 2026 benchmark of 57 AI models and MT engines.

How good is AI translation from English to Assamese?

Key findings on English to Assamese translation

  1. 1Near missThe two-step solution (translation + post-edit) on OpenAI GPT-5.5 meets every Standard requirement in Assamese except general translation quality, with 22.7 weighted errors per 1,000 words, above the bar. It costs $43.58 per million characters.See the data →
  2. 2Agent effectWith the gender-neutrality agent, total errors fall from 14.6 to 12.5 per 1,000 words for the three-step solution (translation + LQA + repair) on OpenAI GPT-5.5, and rise from 14.6 to 16.2 per 1,000 words for the one on Google Gemini 3.1 Pro Preview.See the data →
  3. 3Metrics vs LQAOf the shortlisted one-step solutions in Assamese with a conclusive Intento LQA result, the one on OpenAI GPT-5.5 has the fewest weighted errors, 30.3 per 1,000 words, and COMET-Kiwi ranks OpenAI GPT-5.5 eighth. The one-step solution on Google Gemma 4, first on COMET-Kiwi, has 95.6 weighted errors per 1,000 words.See the data →

Find English to Assamese translation solutions for your requirements

Pick a quality level, or your own requirements, bars and constraints, to see the shortlisted solutions that meet them in Assamese, with a column for each requirement you select. Under Optimize for, choose which of them comes first: the one with the fewest total errors, the lowest cost or the shortest time. Click a column heading to sort by it.

The shortlisted solutions on 11 models, with their Intento LQA results. Total errors per 1,000 words add the weighted general translation quality errors (minor 1, major 5, critical 10) to the missed glossary terms, sentences in the wrong register, tag errors and sentences that fail gender neutrality, each counted once. Formatting counts as met or missed and does not add to the total errors. The models that did not make the shortlist have automatic scores only: the shortlist. Inconclusive: the three LQA judges agree on fewer than 90% of the sentences of the solution, so it has no general translation quality result (09-02). Gender neutrality: the Advanced requirements count the two best solutions of the language, with the gender-neutrality agent where they need it. The results of the other solutions are shown for information.

How we measure it: 11-01 · 11-02

Trade-offs in English to Assamese translation

Trade-off

Three three-step solutions (translation + LQA + repair) meet every Standard requirement in Assamese, each with 14.6 total errors per 1,000 words, and they differ in cost and time. Optimizing for quality shows all three tied, for cost it selects the one on Google Gemini 3.1 Pro Preview, at $588 per million characters, and for latency the one on OpenAI GPT-5.6 Luna, at 136 seconds per 1,000 words. The one on OpenAI GPT-5.5 costs the most, $612 per million characters, and takes the longest, 491 seconds per 1,000 words.

Constraints

None of the one-step or two-step solutions (translation + post-edit) meet even the Basic requirements in Assamese, which cover general translation quality alone. None of the solutions remain at any level under a cost cap of at most $587 per million characters, a time limit below 136 seconds per 1,000 words or a need for real time. The Basic and the Standard requirements leave the same three three-step solutions (translation + LQA + repair), at the same cost and time.

Agent effect

For the Advanced requirements, the gender-neutrality agent works with two of the three-step solutions (translation + LQA + repair). On OpenAI GPT-5.5 the cost goes from $612 to $1,009 per million characters, the time from 491 to 501 seconds per 1,000 words and total errors from 14.6 to 12.5 per 1,000 words. On Google Gemini 3.1 Pro Preview the cost goes from $588 to $979 per million characters, the time from 298 to 292 seconds per 1,000 words and total errors from 14.6 to 16.2 per 1,000 words.

English to Assamese translation quality levels

Optimize for
Basic requirements☆☆☆

Tier 2: two or more solutions, none simple

Solutions that meet them
3 (0 one-step)
Simplest solution
three-step
Fewest errors

Google Gemini 3.1 Pro Preview
three-step

Tied with OpenAI GPT-5.5 (three-step) and OpenAI GPT-5.6 Luna (three-step).

Total errors per 1,000 words
14.6
Cost per million characters
$588
Seconds per 1,000 words
298
Lowest cost

Google Gemini 3.1 Pro Preview
three-step

Tied with OpenAI GPT-5.6 Luna (three-step).

Total errors per 1,000 words
14.6
Cost per million characters
$588
Seconds per 1,000 words
298
Shortest time

OpenAI GPT-5.6 Luna
three-step

Total errors per 1,000 words
14.6
Cost per million characters
$588
Seconds per 1,000 words
136
Standard requirements☆☆☆

Tier 2: two or more solutions, none simple

Solutions that meet them
3 (0 one-step)
Simplest solution
three-step
Fewest errors

Google Gemini 3.1 Pro Preview
three-step

Tied with OpenAI GPT-5.5 (three-step) and OpenAI GPT-5.6 Luna (three-step).

Total errors per 1,000 words
14.6
Cost per million characters
$588
Seconds per 1,000 words
298
Lowest cost

Google Gemini 3.1 Pro Preview
three-step

Tied with OpenAI GPT-5.6 Luna (three-step).

Total errors per 1,000 words
14.6
Cost per million characters
$588
Seconds per 1,000 words
298
Shortest time

OpenAI GPT-5.6 Luna
three-step

Total errors per 1,000 words
14.6
Cost per million characters
$588
Seconds per 1,000 words
136
Advanced requirements☆☆

Tier 2: two or more solutions, none simple

Solutions that meet them
2 (0 one-step)
Simplest solution
with the gender-neutrality agent
Fewest errors

OpenAI GPT-5.5
three-step with the gender-neutrality agent

Total errors per 1,000 words
12.5
Cost per million characters
$1,009
Seconds per 1,000 words
501
Lowest cost

Google Gemini 3.1 Pro Preview
three-step with the gender-neutrality agent

Total errors per 1,000 words
16.2
Cost per million characters
$979
Seconds per 1,000 words
292
Shortest time

Google Gemini 3.1 Pro Preview
three-step with the gender-neutrality agent

Total errors per 1,000 words
16.2
Cost per million characters
$979
Seconds per 1,000 words
292

Optimize for selects one of the solutions that meet the level: the one with the fewest total errors, the lowest cost or the shortest time. Where no solution meets the level, the card shows the available solution with the fewest total errors and what it misses. Total errors count every requirement with countable errors.

Quality levelTierSolutionsSimplest solutionModelTotal errors per 1,000 wordsCost per million charactersSeconds per 1,000 words
BasicTier 2: two or more solutions, none simple☆☆☆three-stepGoogle Gemini 3.1 Pro Preview14.6$588298
StandardTier 2: two or more solutions, none simple☆☆☆three-stepGoogle Gemini 3.1 Pro Preview14.6$588298
AdvancedTier 2: two or more solutions, none simple☆☆with the gender-neutrality agentGoogle Gemini 3.1 Pro Preview16.2$979292

One solution per level: the simplest that meets the level, the cheapest of them where several are equally simple. ★ a one-step solution, ☆ a solution with more steps or the gender-neutrality agent.

Level step-up

The three three-step solutions (translation + LQA + repair) that meet the Basic requirements in Assamese meet the Standard ones too. Translations from all three have 100% of the tags right. The Advanced requirements add gender neutrality. Only the two best solutions, on OpenAI GPT-5.5 and Google Gemini 3.1 Pro Preview with the gender-neutrality agent, count for it. Optimizing for quality then selects OpenAI GPT-5.5 instead of a three-way tie, and for latency Google Gemini 3.1 Pro Preview instead of OpenAI GPT-5.6 Luna.

How we measure it: 11-01 · 11-02 · 08-09

English to Assamese translation cost against errors

Chart data
Cost and weighted errors of the one-step solutions in Assamese
ModelUS dollars per million charactersWeighted errors per 1,000 wordsGroup
Google Gemma 40.1695.6Misses a Standard requirement
OpenAI GPT-5.6 Luna0.5240.2Misses a Standard requirement
Google Gemini 3.1 Pro Preview5.534.6Misses a Standard requirement
Microsoft Translator10133.5Misses a Standard requirement
OpenAI GPT-5.512.7730.3Misses a Standard requirement
Anthropic Claude Opus 4.825.2338.2Misses a Standard requirement
DeepL Next Gen27.544.2Misses a Standard requirement
Anthropic Claude Fable 550.731.6Misses a Standard requirement
Price vs quality

Among the shortlisted one-step solutions in Assamese, the dearest, on Anthropic Claude Fable 5 at $50.70 per million characters, has 31.6 weighted errors per 1,000 words, more than the 30.3 of the one on OpenAI GPT-5.5 at $12.77 per million characters.

How we measure it: 11-01 · 10-10

English to Assamese translation requirements

Chart data
Errors per 1,000 words of the one-step solutions in Assamese, median, by requirement
RequirementMedian errors per 1,000 words
General translation quality39.2
Gender neutrality3.1
Tag handling1.3
Tone of voice0

The requirements with countable errors. Every solution with its result on each requirement: the explorer.

Bottleneck

Of the Standard requirements, general translation quality is the bottleneck in Assamese. The one-step solutions with the fewest weighted errors, on OpenAI GPT-5.5, Anthropic Claude Fable 5 and Google Gemini 3.1 Pro Preview, have 30.3 to 34.6 per 1,000 words. The three two-step solutions (translation + post-edit) have 22.7 to 37.9 weighted errors per 1,000 words. The three three-step solutions (translation + LQA + repair) have 11.5 to 12.5 weighted errors per 1,000 words, under the bar.

How we measure it: 09-09 · 09-10 · 09-11 · 09-12 · 09-18

AI models and MT engines for English to Assamese translation

Chart data
Weighted errors per 1,000 words of the shortlisted one-step solutions in Assamese
ModelWeighted errors per 1,000 words of the shortlisted one-step solutions in AssameseClass
Microsoft Translator133.5MT engines
Google Gemma 495.6Open-weight LLMs
DeepL Next Gen44.2LLM-based MT engines
OpenAI GPT-5.6 Luna40.2LLMs
Anthropic Claude Opus 4.838.2LLMs
Google Gemini 3.1 Pro Preview34.6LLMs
Anthropic Claude Fable 531.6LLMs
OpenAI GPT-5.530.3LLMs

No translation into Assamese: AI21 Jamba Large 1.7 (cut off part-way, wrong language, garbage or near-empty, wrong script), Anthropic Claude Haiku 4.5 (wrong language), Swiss AI Apertus-8B-2509 (wrong language).

Model types

Translations from the five shortlisted LLMs with a conclusive result, the open-weight Google Gemma 4 aside, have 30.3 to 40.2 weighted errors per 1,000 words in one step in Assamese. Translations from DeepL Next Gen, an LLM-based MT engine, have 44.2 weighted errors per 1,000 words. Translations from Microsoft Translator, the one shortlisted MT engine that is not LLM-based, have 133.5 weighted errors per 1,000 words. Of these 8 one-step solutions, only those on Google Gemma 4 and Microsoft Translator have a critical error.

How we measure it: 00-04 · 08-15 · 23-01

How we shortlisted English to Assamese translation solutions

Chart data
Scores of the models on COMET-Kiwi, Assamese
RankModelCOMET-Kiwi (higher is better)83% confidence interval, fromtoStatus
1Google Gemma 40.7620.7530.772Shortlisted
2OpenAI GPT-5.6 Luna0.7600.7510.770Shortlisted
3Google Gemini 3.1 Pro Preview0.7600.7490.770Shortlisted
4DeepL Next Gen0.7600.7500.769Shortlisted
5xAI Grok 4.20 (non-reasoning)0.7570.7470.767Shortlisted
6Anthropic Claude Opus 4.80.7570.7470.766Shortlisted
7Anthropic Claude Sonnet 4.60.7560.7460.766Shortlisted
8OpenAI GPT-5.50.7550.7450.765Shortlisted
9Translated Lara 20.7550.7450.765Shortlisted
10Anthropic Claude Fable 50.7530.7440.763Shortlisted
11MoonshotAI Kimi K2.50.7480.7380.758Not shortlisted
12Mistral Large 30.7470.7370.756Not shortlisted
13OpenAI GPT-4.10.7460.7360.757Not shortlisted
14DeepSeek V3.20.7460.7360.757Not shortlisted
15Anthropic Claude Sonnet 50.7460.7360.756Not shortlisted
16MiniMax M2.50.7460.7350.757Not shortlisted
17z.ai GLM-50.7450.7350.754Not shortlisted
18Microsoft Translator0.7440.7340.754Shortlisted
19Google Gemini 3.5 Flash0.7350.7200.751Not shortlisted
20Alibaba Qwen3-235B-A22B0.7320.7210.744Not shortlisted
21OpenAI gpt-oss-120b0.7290.7170.740Not shortlisted
22ModernMT Enterprise Edition0.7280.7160.739Not shortlisted
23Google Cloud Advanced Translation API0.7200.7020.737Not shortlisted
24Mistral Medium 3.10.7050.6930.716Not shortlisted
25Cohere Command A Translate0.5230.4870.560Not shortlisted
ModelSolution complexityCOMET-Kiwi rankCOMET-KiwiShortlist
Google Gemma 4Adjusted LLM10.762Top 10 by COMET-Kiwi
OpenAI GPT-5.6 LunaAdjusted LLM20.760Top 10 by COMET-Kiwi
Google Gemini 3.1 Pro PreviewAdjusted LLM30.760Top 10 by COMET-Kiwi
DeepL Next GenOff-the-shelf NMT40.760Top 10 by COMET-Kiwi
xAI Grok 4.20 (non-reasoning)Adjusted LLM50.757Top 10 by COMET-Kiwi
Anthropic Claude Opus 4.8Adjusted LLM60.757Top 10 by COMET-Kiwi
Anthropic Claude Sonnet 4.6Adjusted LLM70.756Top 10 by COMET-Kiwi
OpenAI GPT-5.5Adjusted LLM80.755Top 10 by COMET-Kiwi
Translated Lara 2Adjusted NMT90.755Top 10 by COMET-Kiwi
Anthropic Claude Fable 5Adjusted LLM100.753Top 10 by COMET-Kiwi
MoonshotAI Kimi K2.5Adjusted LLM110.748Not shortlisted
Mistral Large 3Adjusted LLM120.747Not shortlisted
OpenAI GPT-4.1Adjusted LLM130.746Not shortlisted
DeepSeek V3.2Adjusted LLM140.746Not shortlisted
Anthropic Claude Sonnet 5Adjusted LLM150.746Not shortlisted
MiniMax M2.5Adjusted LLM160.746Not shortlisted
z.ai GLM-5Adjusted LLM170.745Not shortlisted
Microsoft TranslatorOff-the-shelf NMT180.744Real-time place
Google Gemini 3.5 FlashAdjusted LLM190.735Not shortlisted
Alibaba Qwen3-235B-A22BAdjusted LLM200.732Not shortlisted
OpenAI gpt-oss-120bAdjusted LLM210.729Not shortlisted
ModernMT Enterprise EditionOff-the-shelf NMT220.728Not shortlisted
Google Cloud Advanced Translation APIOff-the-shelf NMT230.720Not shortlisted
Mistral Medium 3.1Adjusted LLM240.705Not shortlisted
Cohere Command A TranslateAdjusted LLM250.523Not shortlisted
OpenAI GPT-5.6 SolAdjusted LLM—0.756Same model family as OpenAI GPT-5.6 Luna
OpenAI GPT-5.6 TerraAdjusted LLM—0.759Same model family as OpenAI GPT-5.6 Luna
xAI Grok 4.20 (reasoning)Adjusted LLM—0.752Same model family as xAI Grok 4.20 (non-reasoning)

Every model we got a translation from, as the shortlist compared it: off the shelf, without context in the request, or adjusted, with it. A model that did not make the shortlist is shown adjusted, unless off the shelf it scores higher by 0.03 or more on COMET-Kiwi. Ranks among 25 models, with each model family counted once, and the top 10 in bold. Higher is better on COMET-Kiwi. The scores rank models within this language and are not a requirement result.

Metrics vs LQA

The ten COMET-Kiwi places in Assamese lie between 0.753 and 0.762. The one-step solution on Anthropic Claude Fable 5, last of the ten at 0.753, has 31.6 weighted errors per 1,000 words, the second fewest of the 8 one-step solutions with a conclusive result. The one on DeepL Next Gen, fourth on COMET-Kiwi, has 44.2 weighted errors per 1,000 words. Nearest the cut in the tail is MoonshotAI Kimi K2.5, 11th on COMET-Kiwi with 0.748. Microsoft Translator, 18th on COMET-Kiwi with 0.744, is on the shortlist through a real-time place.

How we measure it: 00-08 · 00-09

English to Assamese translation cost

Quality levelCheapest solution that meets every requirement of the levelCost per million characters
BasicGoogle Gemini 3.1 Pro Preview, three-step$588
StandardGoogle Gemini 3.1 Pro Preview, three-step$588
AdvancedGoogle Gemini 3.1 Pro Preview, three-step with the gender-neutrality agent$979
Chart data
Cost of the shortlisted one-step solutions in Assamese
ModelUS dollars per million charactersClass
Google Gemma 4$0.16Open-weight LLMs
OpenAI GPT-5.6 Luna$0.52LLMs
xAI Grok 4.20 (non-reasoning)$2.1LLMs
Google Gemini 3.1 Pro Preview$5.5LLMs
Microsoft Translator$10MT engines
OpenAI GPT-5.5$12.77LLMs
Anthropic Claude Sonnet 4.6$14.07LLMs
Translated Lara 2$24.99LLM-based MT engines
Anthropic Claude Opus 4.8$25.23LLMs
DeepL Next Gen$27.5LLM-based MT engines
Anthropic Claude Fable 5$50.7LLMs
Chart data
Tokens per character of the translation into Assamese, by model
ModelTokens per characterClass
Cohere Command A Translate1.069LLMs
Mistral Large 31.062LLMs
Mistral Medium 3.11.056LLMs
Alibaba Qwen3-235B-A22B0.96Open-weight LLMs
Anthropic Claude Fable 50.896LLMs
Anthropic Claude Opus 4.80.888LLMs
Anthropic Claude Sonnet 50.883LLMs
Anthropic Claude Sonnet 4.60.871LLMs
z.ai GLM-50.839LLMs
xAI Grok 4.20 (non-reasoning)0.699LLMs
xAI Grok 4.20 (reasoning)0.693LLMs
MiniMax M2.50.621LLMs
MoonshotAI Kimi K2.50.611LLMs
DeepSeek V3.20.499LLMs
Google Gemini 3.1 Pro Preview0.387LLMs
Google Gemini 3.5 Flash0.384LLMs
OpenAI GPT-4.10.381LLMs
Google Gemma 40.38Open-weight LLMs
OpenAI GPT-5.6 Sol0.378LLMs
OpenAI GPT-5.6 Terra0.377LLMs
OpenAI GPT-5.6 Luna0.374LLMs
OpenAI GPT-5.50.372LLMs
Cost driver

The tokenizers of the three shortlisted Anthropic models produce 0.871 to 0.896 tokens per character of the Assamese translation, against 0.372 to 0.387 for the shortlisted OpenAI and Google models. The one-step solutions on the Anthropic models cost $14.07 to $50.70 per million characters, and those on the OpenAI and Google ones $0.16 to $12.77. On Google Gemini 3.1 Pro Preview, translation costs $5.50 per million characters in one step, $60.40 in two (translation + post-edit) and $588 in three (translation + LQA + repair).

How we measure it: 10-01 · 10-03 · 05-02

English to Assamese translation speed

Quality levelFastest solution that meets every requirement of the levelSeconds per 1,000 words
BasicOpenAI GPT-5.6 Luna, three-step136
StandardOpenAI GPT-5.6 Luna, three-step136
AdvancedGoogle Gemini 3.1 Pro Preview, three-step with the gender-neutrality agent292
Chart data
Time to translate 1,000 words into Assamese, by model
ModelSeconds per 1,000 wordsClass
Google Cloud Advanced Translation API0.2MT engines
Microsoft Translator0.5MT engines
ModernMT Enterprise Edition0.5MT engines
DeepL Next Gen1LLM-based MT engines
OpenAI gpt-oss-120b2.8Open-weight LLMs
Translated Lara 23.6LLM-based MT engines
OpenAI GPT-5.6 Luna19LLMs
OpenAI GPT-4.131LLMs
xAI Grok 4.20 (non-reasoning)32LLMs
DeepSeek V3.257LLMs
OpenAI GPT-5.6 Terra58LLMs
Google Gemini 3.5 Flash60LLMs
Mistral Medium 3.162LLMs
xAI Grok 4.20 (reasoning)69LLMs
MiniMax M2.574LLMs
Cohere Command A Translate98LLMs
Anthropic Claude Sonnet 5100LLMs
Google Gemini 3.1 Pro Preview104LLMs
Mistral Large 3104LLMs
Anthropic Claude Fable 5117LLMs
Anthropic Claude Sonnet 4.6132LLMs
Anthropic Claude Opus 4.8146LLMs
OpenAI GPT-5.6 Sol151LLMs
OpenAI GPT-5.5176LLMs
Google Gemma 4181Open-weight LLMs
MoonshotAI Kimi K2.5251LLMs
z.ai GLM-5280LLMs
Alibaba Qwen3-235B-A22B358Open-weight LLMs

Real-time models are those the shortlist counts as real-time, under 2 seconds per text across the languages we timed. The chart shows the time of each model into Assamese.

Real-time

Five of the six real-time models in Assamese are MT engines, two of them LLM-based, and the sixth is the open-weight OpenAI gpt-oss-120b. Three are on the shortlist. Translations from DeepL Next Gen and Microsoft Translator have 44.2 and 133.5 weighted errors per 1,000 words, and there is no conclusive Intento LQA result for Translated Lara 2. The three-step solutions (translation + LQA + repair) that meet every Standard requirement take 136 to 491 seconds per 1,000 words, and 292 and 501 with the gender-neutrality agent.

How we measure it: 12-01 · 12-02 · 12-09

Tone of voice and gender-neutral English to Assamese translation

Tone of voice
Formal register, with আপুনি
Gender-neutrality strategy
No grammatical gender for persons — neutral by default; only avoid gendered terms
Default gender
None where the source leaves the gender open
The two best solutionsSolutionSentences about people that are gender-neutralMeets every Advanced requirementCost per million charactersSeconds per 1,000 words
Google Gemini 3.1 Pro Previewthree-step, with the gender-neutrality agent100%✓$979292
OpenAI GPT-5.5three-step, with the gender-neutrality agent100%✓$1,009501
Analysis

For Assamese we check the formal register, with আপুনি, and gender-neutral wording with no default gender. Assamese has no grammatical gender for persons, so a translation without gendered terms is neutral by default. With the gender-neutrality agent, 100% of the sentences about people in the translations from the two best solutions are gender-neutral. Both are three-step solutions (translation + LQA + repair), on OpenAI GPT-5.5 and Google Gemini 3.1 Pro Preview.

How we measure it: 02-05 · 02-06 · 08-11 · 09-18

How confident are we in measuring English to Assamese translation quality?

Confidence

Across the 11 shortlisted solutions in Assamese, the median share of sentences on which the three LQA judges agree is 93.8%. The similarity pair of automatic metrics agrees at 0.55, with an interval of 0.53 to 0.56 that stays above its threshold of 0.46.

How we measure it: 00-07 · 07-05 · 09-02

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