Safety · Together AI

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

Mixtral Turbo Chat scores 74.6 on TruthfulQA, placing it #339 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.

Score
74.6
0–100 scale
Rank
#339
of 600
Percentile
44th
within the index
Benchmark avg
73.6
all models
Leader
91.1
GPT-5.1 Max
Gap to leader
16.5
points

Score distribution

The chart shows the top 10 models on TruthfulQA, with Mixtral Turbo Chat 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 Chat sits at #339 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 16.5 points. The median model in this index scores 76.3, which puts Mixtral Turbo Chat below the midpoint.

Together AI models average 69.8 on this benchmark. Mixtral Turbo Chat is 4.8 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 Chat is 2.3 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 74.6 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 TruthfulQA. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Hunyuan-Large Base Tencent 200000 $3.64 74.0
Phi-3.5 Microsoft 16384 $2.81 70.9
Auto Reasoning OpenRouter 65536 $8.39 71.5
Llama 3 Baseten Base Baseten 16384 $3.16 72.4
Mixtral Turbo Chat Together AI 32768 $3.02 71.7
Fusion Turbo OpenRouter 8192 $8.55 71.7
Mixtral Groq Instruct Groq 16384 $3.25 72.5

Other benchmarks for Mixtral Turbo Chat

BenchmarkScoreRankPercentileRelative
MMLU-Pro 74.1 349 42th
GPQA Diamond 67.2 328 45th
SWE-bench Verified 58.2 354 41th
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
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 TruthfulQA?

Mixtral Turbo Chat scores 74.6 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.

How does Mixtral Turbo Chat rank on TruthfulQA?

It ranks #339 of 600 models, in the 44th percentile. The leader is GPT-5.1 Max at 91.1.

Is Mixtral Turbo Chat 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 Chat cost?

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

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