Instruction following · Moonshot AI

Kimi K2 7B on IFEval: score, rank and what it means

Kimi K2 7B scores 75.0 on IFEval, placing it #398 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
75.0
0–100 scale
Rank
#398
of 600
Percentile
34th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
21.1
points

Score distribution

The chart shows the top 10 models on IFEval, with Kimi K2 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, Kimi K2 7B sits at #398 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 21.1 points. The median model in this index scores 81.2, which puts Kimi K2 7B below the midpoint.

Moonshot AI models average 80.8 on this benchmark. Kimi K2 7B is 5.8 points below that provider line, so it is a weaker result than the average Moonshot AI model.

Among small open-weight models, the average is 64.9. Kimi K2 7B is 10.1 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 75.0 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 $1.72 per million input tokens, Kimi K2 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
Kimi K2 8B Moonshot AI 8192 $1.86 64.7
Embed 4 Max Cohere 8192 $5.68 66.1
Nemotron Nano Instruct NVIDIA 32768 $2.33 67.4
DeepSeek-V3.2 7B DeepSeek 4096 $1.75 63.2
Kimi K2 7B Moonshot AI 16384 $1.72 62.7
Arctic Base Snowflake 32768 $2.27 67.5
StableLM 2 Chat Stability AI 8192 $1.79 64.6

Other benchmarks for Kimi K2 7B

BenchmarkScoreRankPercentileRelative
MMLU-Pro 66.5 431 28th
GPQA Diamond 57.0 440 27th
SWE-bench Verified 52.5 401 33th
HumanEval 67.5 416 31th
MATH-500 64.6 421 30th
AIME 2025 51.1 450 25th
LiveCodeBench 50.4 444 26th
TruthfulQA 67.9 414 31th
HellaSwag 78.1 400 33th
MMMU 59.2 437 27th
Arena Elo 1304.4 412 31th

FAQ

What score does Kimi K2 7B get on IFEval?

Kimi K2 7B scores 75.0 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Kimi K2 7B rank on IFEval?

It ranks #398 of 600 models, in the 34th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Kimi K2 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 Kimi K2 7B cost?

Kimi K2 7B costs $1.72 per million input tokens and $8.97 per million output tokens.

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