Coding · Cohere

Embed 4 Nano on HumanEval: score, rank and what it means

Embed 4 Nano scores 55.2 on HumanEval, placing it #540 of 600 models in the index. The benchmark average is 74.0 and the leader is GPT-5.2 Pro at 96.8.

Score
55.2
0–100 scale
Rank
#540
of 600
Percentile
10th
within the index
Benchmark avg
74.0
all models
Leader
96.8
GPT-5.2 Pro
Gap to leader
41.6
points

Score distribution

The chart shows the top 10 models on HumanEval, with Embed 4 Nano highlighted. Longer bars mean higher scores.

GPT-5.2 Pro 96.8
Gemini 3 Pro Pro 95.0
o4 Max 94.6
Grok 4 Reasoning 93.8
Claude Opus 4.5 93.7
GPT-5.2 Max 93.6
Claude Opus 4.5 Pro 93.4
Grok 4 Max 93.4
GPT-5.2 Turbo 93.2
GPT-5.1 Reasoning 92.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
2 Gemini 3 Pro Pro Google DeepMind 200000 $19.80 87.3
3 o4 Max OpenAI 2000000 $19.51 86.2
4 Grok 4 Reasoning xAI 2000000 $19.67 87.8
5 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
6 GPT-5.2 Max OpenAI 1000000 $21.39 89.2
7 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
8 Grok 4 Max xAI 2000000 $19.70 86.6
9 GPT-5.2 Turbo OpenAI 1000000 $20.73 87.4
10 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3

What this score means

On HumanEval, Embed 4 Nano sits at #540 of 600. The leader, GPT-5.2 Pro, scores 96.8, so the gap to the top is 41.6 points. The median model in this index scores 77.4, which puts Embed 4 Nano below the midpoint.

Cohere models average 72.5 on this benchmark. Embed 4 Nano is 17.3 points below that provider line, so it is a weaker result than the average Cohere model.

Among mid-range models, the average is 71.5. Embed 4 Nano is 16.3 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 55.2 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 $1.48 per million input tokens, Embed 4 Nano is below the median input price of $4.00 across the 600 models scored on HumanEval. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
OLMo 2 7B Allen Institute for AI 16384 $0.56 51.7
Arctic 8B Snowflake 8192 $0.65 52.4
Llama 4 Scout 1.5B Meta AI 8192 $0.66 53.0
Phi-3.5 8B Microsoft 16384 $0.59 51.2
Embed 4 Nano Cohere 8192 $1.48 49.7
Kimi K1.5 1.5B Moonshot AI 4096 $0.75 53.2
Mixtral Turbo 7B Together AI 8192 $0.68 53.2

Other benchmarks for Embed 4 Nano

BenchmarkScoreRankPercentileRelative
MMLU-Pro 54.5 575 4th
GPQA Diamond 45.6 560 7th
SWE-bench Verified 33.1 571 5th
MATH-500 52.4 537 11th
AIME 2025 33.5 575 4th
LiveCodeBench 40.3 535 11th
IFEval 61.0 564 6th
TruthfulQA 55.6 570 5th
HellaSwag 69.8 537 11th
MMMU 46.2 578 4th
Arena Elo 1207.9 547 9th

FAQ

What score does Embed 4 Nano get on HumanEval?

Embed 4 Nano scores 55.2 on HumanEval in this index. The benchmark average is 74.0 and the top score is 96.8.

How does Embed 4 Nano rank on HumanEval?

It ranks #540 of 600 models, in the 10th percentile. The leader is GPT-5.2 Pro at 96.8.

Is Embed 4 Nano good at HumanEval?

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 HumanEval score calculated?

HumanEval is a coding 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 Embed 4 Nano cost?

Embed 4 Nano costs $1.48 per million input tokens and $6.14 per million output tokens.

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