Safety · Together AI

Mixtral Turbo on TruthfulQA: score, rank and what it means

Mixtral Turbo scores 74.0 on TruthfulQA, placing it #351 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
74.0
0–100 scale
Rank
#351
of 600
Percentile
42th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
17.1
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with Mixtral Turbo highlighted. Longer bars mean higher scores.

GPT-5.1 Max 91.1
Gemini 3 Pro Reasoning 90.3
GPT-5.1 Reasoning 90.0
GPT-5.2 Pro 90.0
GPT-5.2 89.7
Gemini 3 Pro Max 89.6
Grok 4 Reasoning 89.4
Qwen3-Max Max 89.3
GPT-5.1 89.2
GPT-5.1 Turbo 89.2

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
2 Gemini 3 Pro Reasoning Google DeepMind 200000 $19.69 87.5
3 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
4 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
5 GPT-5.2 OpenAI 2000000 $19.71 88.0
6 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
7 Grok 4 Reasoning xAI 2000000 $19.67 87.8
8 Qwen3-Max Max Alibaba Cloud 400000 $18.53 85.9
9 GPT-5.1 OpenAI 2000000 $19.01 86.0
10 GPT-5.1 Turbo OpenAI 2000000 $19.19 86.1

What this score means

On TruthfulQA, Mixtral Turbo sits at #351 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 17.1 points. The median model in this index scores 76.3, which puts Mixtral Turbo below the midpoint.

Together AI models average 69.8 on this benchmark. Mixtral Turbo is 4.2 points above that provider line, so it is a stronger result than the average Together AI model.

Among open-weight models, the average is 72.3. Mixtral Turbo is 1.7 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 74.0 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 $3.20 per million input tokens, Mixtral Turbo is below the median input price of $4.00 across the 600 models scored on TruthfulQA. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Codestral Base Mistral AI 8192 $3.31 73.1
Firefunction Turbo Fireworks AI 32768 $8.44 70.7
Mixtral Turbo Base Together AI 32768 $2.53 69.7
Arctic Instruct Snowflake 65536 $2.83 70.6
Mixtral Turbo Together AI 65536 $3.20 72.4
Molmo Allen Institute for AI 32768 $2.49 68.5
Seed-OSS Base ByteDance 16384 $3.14 72.2

Other benchmarks for Mixtral Turbo

BenchmarkScoreRankPercentileRelative
MMLU-Pro 77.6 256 57th
GPQA Diamond 69.5 279 54th
SWE-bench Verified 57.8 360 40th
HumanEval 77.7 295 51th
MATH-500 75.4 315 48th
AIME 2025 67.9 297 51th
LiveCodeBench 63.6 330 45th
IFEval 78.7 360 40th
HellaSwag 82.5 335 44th
MMMU 71.5 258 57th
Arena Elo 1364.3 335 44th

FAQ

What score does Mixtral Turbo get on TruthfulQA?

Mixtral Turbo scores 74.0 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Mixtral Turbo rank on TruthfulQA?

It ranks #351 of 600 models, in the 42nd percentile. The leader is GPT-5.1 Max at 91.1.

Is Mixtral Turbo good at TruthfulQA?

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 TruthfulQA score calculated?

TruthfulQA is a safety 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 cost?

Mixtral Turbo costs $3.20 per million input tokens and $13.66 per million output tokens.

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