Instruction following · Cohere

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

Embed 4 Pro scores 72.8 on IFEval, placing it #419 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
72.8
0–100 scale
Rank
#419
of 600
Percentile
30th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
23.3
points

Score distribution

The chart shows the top 10 models on IFEval, with Embed 4 Pro 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 Pro sits at #419 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 23.3 points. The median model in this index scores 81.2, which puts Embed 4 Pro below the midpoint.

Cohere models average 77.5 on this benchmark. Embed 4 Pro is 4.7 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 Pro is 3.7 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 72.8 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 $5.05 per million input tokens, Embed 4 Pro is above 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
GLM-4.6 7B Zhipu AI 16384 $1.52 61.8
Sonar Pro Nano Perplexity 32768 $5.50 66.1
Hunyuan-Turbo Nano Tencent 32768 $4.65 62.7
StableLM 2 Instruct Stability AI 16384 $1.93 65.2
Embed 4 Pro Cohere 4096 $5.05 63.5
Firesearch Mini Fireworks AI 32768 $3.94 61.5
SmolLM3 Hugging Face 8192 $1.71 63.1

Other benchmarks for Embed 4 Pro

BenchmarkScoreRankPercentileRelative
MMLU-Pro 69.3 404 33th
GPQA Diamond 61.3 397 34th
SWE-bench Verified 52.0 405 33th
HumanEval 68.0 414 31th
MATH-500 63.8 427 29th
AIME 2025 53.2 431 28th
LiveCodeBench 52.2 426 29th
TruthfulQA 66.8 433 28th
HellaSwag 78.6 397 34th
MMMU 60.5 423 30th
Arena Elo 1316.6 399 34th

FAQ

What score does Embed 4 Pro get on IFEval?

Embed 4 Pro scores 72.8 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Embed 4 Pro rank on IFEval?

It ranks #419 of 600 models, in the 30th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Embed 4 Pro 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 Pro cost?

Embed 4 Pro costs $5.05 per million input tokens and $19.40 per million output tokens.

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