Codestral Base on TruthfulQA: score, rank and what it means
Codestral Base scores 74.3 on TruthfulQA, placing it #347 of 600 models in the index. The benchmark average is 73.6 and the leader is GPT-5.1 Max at 91.1.
Score distribution
The chart shows the top 10 models on TruthfulQA, with Codestral Base highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg 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, Codestral Base sits at #347 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 16.8 points. The median model in this index scores 76.3, which puts Codestral Base below the midpoint.
Mistral AI models average 71.0 on this benchmark. Codestral Base is 3.3 points above that provider line, so it is a stronger result than the average Mistral AI model.
Among open-weight models, the average is 72.3. Codestral Base is 2.0 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 74.3 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 $3.31 per million input tokens, Codestral Base 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.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Gemini 2.5 Pro Nano | Google DeepMind | 32768 | $7.28 | 69.2 |
| Llama 3 Lambda Base | Lambda | 8192 | $3.19 | 72.9 |
| OLMo 2 Chat | Allen Institute for AI | 16384 | $2.94 | 70.6 |
| Phi-4 Base | Microsoft | 32768 | $3.15 | 71.2 |
| 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 |
Other benchmarks for Codestral Base
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 74.1 | 348 | 42th | |
| GPQA Diamond | 70.4 | 252 | 58th | |
| SWE-bench Verified | 62.6 | 264 | 56th | |
| HumanEval | 79.7 | 240 | 60th | |
| MATH-500 | 77.4 | 267 | 56th | |
| AIME 2025 | 68.7 | 283 | 53th | |
| LiveCodeBench | 65.7 | 279 | 54th | |
| IFEval | 79.2 | 347 | 42th | |
| HellaSwag | 83.3 | 311 | 48th | |
| MMMU | 68.3 | 339 | 44th | |
| Arena Elo | 1371.7 | 310 | 48th |
FAQ
What score does Codestral Base get on TruthfulQA?
Codestral Base scores 74.3 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.
How does Codestral Base rank on TruthfulQA?
It ranks #347 of 600 models, in the 42nd percentile. The leader is GPT-5.1 Max at 91.1.
Is Codestral Base 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 Codestral Base cost?
Codestral Base costs $3.31 per million input tokens and $16.95 per million output tokens.