Instruction following · DeepSeek

DeepSeek-Coder 7B on IFEval: score, rank and what it means

DeepSeek-Coder 7B scores 70.1 on IFEval, placing it #459 of 600 models in the index. The benchmark average is 78.6 and the leader is Claude Opus 4.5 Pro at 96.1.

Score
70.1
0–100 scale
Rank
#459
of 600
Percentile
24th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
26.0
points

Score distribution

The chart shows the top 10 models on IFEval, with DeepSeek-Coder 7B highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 96.1
Claude Opus 4.5 Reasoning 95.9
GPT-5.2 Pro 95.6
GPT-5.2 Max 95.2
GPT-5.2 Reasoning 95.0
GPT-5.1 Pro 94.8
Gemini 3 Pro Max 94.7
GPT-5.1 Reasoning 94.6
Claude Opus 4.5 Max 94.5
o4 Reasoning 94.5

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2
3 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
4 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
5 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
6 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
7 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
8 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 o4 Reasoning OpenAI 1000000 $19.69 87.5

What this score means

On IFEval, DeepSeek-Coder 7B sits at #459 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 26.0 points. The median model in this index scores 81.2, which puts DeepSeek-Coder 7B below the midpoint.

DeepSeek models average 80.3 on this benchmark. DeepSeek-Coder 7B is 10.2 points below that provider line, so it is a weaker result than the average DeepSeek model.

Among coding models, the average is 77.6. DeepSeek-Coder 7B is 7.5 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 70.1 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 IFEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Zephyr Hugging Face 8192 $1.61 62.8
Zephyr Base Hugging Face 4096 $1.26 59.5
Llama 3.3 8B Meta AI 8192 $1.26 60.1
Command R+ 8B Cohere 8192 $1.21 57.7
DeepSeek-Coder 7B DeepSeek 32768 $1.14 57.3
DeepSeek-V3.2 1.5B DeepSeek 4096 $1.02 56.9
Qwen3-Coder 8B Alibaba Cloud 32768 $1.43 61.3

Other benchmarks for DeepSeek-Coder 7B

BenchmarkScoreRankPercentileRelative
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
TruthfulQA 63.8 471 22th
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 IFEval?

DeepSeek-Coder 7B scores 70.1 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does DeepSeek-Coder 7B rank on IFEval?

It ranks #459 of 600 models, in the 24th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is DeepSeek-Coder 7B good at IFEval?

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 IFEval score calculated?

IFEval is a instruction following 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.

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