Instruction following · Cohere

Embed 4 Mini on IFEval: score, rank and what it means

Embed 4 Mini scores 67.4 on IFEval, placing it #495 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
67.4
0–100 scale
Rank
#495
of 600
Percentile
18th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
28.7
points

Score distribution

The chart shows the top 10 models on IFEval, with Embed 4 Mini 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, Embed 4 Mini sits at #495 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 28.7 points. The median model in this index scores 81.2, which puts Embed 4 Mini below the midpoint.

Cohere models average 77.5 on this benchmark. Embed 4 Mini is 10.1 points below that provider line, so it is a weaker result than the average Cohere model.

Among mid-range models, the average is 76.5. Embed 4 Mini is 9.1 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 67.4 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 $2.48 per million input tokens, Embed 4 Mini 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
Phi-4 7B Microsoft 8192 $0.91 56.8
GLM-4.6 1.5B Zhipu AI 4096 $0.92 54.7
Nova Lite Nano Amazon 8192 $3.29 59.5
Llama 3.1 7B Meta AI 8192 $1.01 57.4
Embed 4 Mini Cohere 4096 $2.48 55.8
Llama 3 Replicate 8B Replicate 32768 $1.00 57.0
QwQ 7B Alibaba Cloud 8192 $1.11 58.1

Other benchmarks for Embed 4 Mini

BenchmarkScoreRankPercentileRelative
MMLU-Pro 63.2 486 19th
GPQA Diamond 52.3 496 17th
SWE-bench Verified 43.4 485 19th
HumanEval 60.4 497 17th
MATH-500 54.6 523 13th
AIME 2025 43.9 508 15th
LiveCodeBench 42.9 517 14th
TruthfulQA 60.5 524 13th
HellaSwag 73.0 482 20th
MMMU 51.8 533 11th
Arena Elo 1233.2 524 13th

FAQ

What score does Embed 4 Mini get on IFEval?

Embed 4 Mini scores 67.4 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Embed 4 Mini rank on IFEval?

It ranks #495 of 600 models, in the 18th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Embed 4 Mini 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 Embed 4 Mini cost?

Embed 4 Mini costs $2.48 per million input tokens and $9.98 per million output tokens.

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