Coding · Together AI

Mixtral Turbo Chat on SWE-bench Verified: score, rank and what it means

Mixtral Turbo Chat scores 58.2 on SWE-bench Verified, placing it #354 of 600 models in the index. The benchmark average is 57.5 and the leader is GPT-5.2 Pro at 81.7.

Score
58.2
0–100 scale
Rank
#354
of 600
Percentile
41th
within the index
Benchmark avg
57.5
all models
Leader
81.7
GPT-5.2 Pro
Gap to leader
23.5
points

Score distribution

The chart shows the top 10 models on SWE-bench Verified, with Mixtral Turbo Chat highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 81.7
Claude Opus 4.5 Pro 81.1
GPT-5.2 Max 80.5
Claude Sonnet 4.5 Max 80.2
GPT-5.2 80.2
GPT-5.1 Pro 80.1
o4 Max 79.8
Claude Sonnet 4.5 Reasoning 79.6
Claude Opus 4.5 Max 79.5
Claude Opus 4.5 Reasoning 79.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
3 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
4 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2
5 GPT-5.2 OpenAI 2000000 $19.71 88.0
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 o4 Max OpenAI 2000000 $19.51 86.2
8 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On SWE-bench Verified, Mixtral Turbo Chat sits at #354 of 600. The leader, GPT-5.2 Pro, scores 81.7, so the gap to the top is 23.5 points. The median model in this index scores 61.0, which puts Mixtral Turbo Chat below the midpoint.

Together AI models average 52.1 on this benchmark. Mixtral Turbo Chat is 6.1 points above that provider line, so it is a stronger result than the average Together AI model.

Among open-weight models, the average is 55.5. Mixtral Turbo Chat is 2.7 points above that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.

Read a 58.2 as a relative signal, not an absolute guarantee. Benchmark scores depend on prompt format, evaluation harness and contamination controls. Use this page to narrow the shortlist, then test the model on your own data.

Price context

At $3.02 per million input tokens, Mixtral Turbo Chat is below the median input price of $4.00 across the 600 models scored on SWE-bench Verified. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3 Anyscale Base Anyscale 65536 $3.23 72.9
Firefunction Reasoning Fireworks AI 8192 $9.08 72.5
Llama 3 DeepInfra Base DeepInfra 16384 $2.95 71.8
Llama 3 Hyperbolic Base Hyperbolic 32768 $3.02 71.1
Mixtral Turbo Chat Together AI 32768 $3.02 71.7
Auto OpenRouter 32768 $7.53 70.2
Mixtral Turbo Base Together AI 32768 $2.53 69.7

Other benchmarks for Mixtral Turbo Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 74.1 349 42th
GPQA Diamond 67.2 328 45th
HumanEval 77.9 290 52th
MATH-500 74.0 348 42th
AIME 2025 65.3 336 44th
LiveCodeBench 64.1 315 48th
IFEval 80.2 330 45th
TruthfulQA 74.6 339 44th
HellaSwag 82.4 340 43th
MMMU 70.4 287 52th
Arena Elo 1366.8 328 45th

FAQ

What score does Mixtral Turbo Chat get on SWE-bench Verified?

Mixtral Turbo Chat scores 58.2 on SWE-bench Verified in this index. The benchmark average is 57.5 and the top score is 81.7.

How does Mixtral Turbo Chat rank on SWE-bench Verified?

It ranks #354 of 600 models, in the 41st percentile. The leader is GPT-5.2 Pro at 81.7.

Is Mixtral Turbo Chat good at SWE-bench Verified?

It is below the median for this benchmark, so test it carefully before relying on it for this capability. The result should be read alongside its price and context window.

How is the SWE-bench Verified score calculated?

SWE-bench Verified is a coding benchmark. Scores in this index are modelled estimates on a 0–100 scale (or Elo for Arena), derived from capability tier and benchmark difficulty. They are not official leaderboard results.

What does Mixtral Turbo Chat cost?

Mixtral Turbo Chat costs $3.02 per million input tokens and $11.80 per million output tokens.

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