DeepSeek-Coder 7B on TruthfulQA: score, rank and what it means
DeepSeek-Coder 7B scores 63.8 on TruthfulQA, placing it #471 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 DeepSeek-Coder 7B 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, DeepSeek-Coder 7B sits at #471 of 600. The leader, GPT-5.1 Max, scores 91.1, so the gap to the top is 27.3 points. The median model in this index scores 76.3, which puts DeepSeek-Coder 7B below the midpoint.
DeepSeek models average 74.8 on this benchmark. DeepSeek-Coder 7B is 11.0 points below that provider line, so it is a weaker result than the average DeepSeek model.
Among coding models, the average is 72.6. DeepSeek-Coder 7B is 8.8 points below that group. This is the more useful comparison if you are shortlisting within the same tier rather than across the whole index.
Read a 63.8 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 $1.14 per million input tokens, DeepSeek-Coder 7B 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 |
|---|---|---|---|---|
| Qwen3-Coder 7B | Alibaba Cloud | 32768 | $1.24 | 59.6 |
| Llama 3.1 Cerebras 8B | Cerebras | 32768 | $1.02 | 58.2 |
| Llama 3.3 Groq 7B | Groq | 16384 | $1.01 | 56.7 |
| Llama 3 Lambda 7B | Lambda | 8192 | $0.84 | 55.4 |
| DeepSeek-Coder 7B | DeepSeek | 32768 | $1.14 | 57.3 |
| Fusion Nano | OpenRouter | 8192 | $2.96 | 56.8 |
| Llama 3.1 7B | Meta AI | 8192 | $1.01 | 57.4 |
Other benchmarks for DeepSeek-Coder 7B
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 61.7 | 506 | 16th | |
| GPQA Diamond | 54.1 | 478 | 20th | |
| SWE-bench Verified | 43.6 | 483 | 20th | |
| HumanEval | 62.0 | 468 | 22th | |
| MATH-500 | 56.9 | 498 | 17th | |
| AIME 2025 | 43.8 | 511 | 15th | |
| LiveCodeBench | 48.3 | 462 | 23th | |
| IFEval | 70.1 | 459 | 24th | |
| HellaSwag | 73.2 | 474 | 21th | |
| MMMU | 53.2 | 517 | 14th | |
| Arena Elo | 1260.7 | 473 | 21th |
FAQ
What score does DeepSeek-Coder 7B get on TruthfulQA?
DeepSeek-Coder 7B scores 63.8 on TruthfulQA in this index. The benchmark average is 73.6 and the top score is 91.1.
How does DeepSeek-Coder 7B rank on TruthfulQA?
It ranks #471 of 600 models, in the 22nd percentile. The leader is GPT-5.1 Max at 91.1.
Is DeepSeek-Coder 7B 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 DeepSeek-Coder 7B cost?
DeepSeek-Coder 7B costs $1.14 per million input tokens and $4.37 per million output tokens.