Instruction following · Cohere

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

Embed 4 scores 73.5 on IFEval, placing it #410 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
73.5
0–100 scale
Rank
#410
of 600
Percentile
32th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
22.6
points

Score distribution

The chart shows the top 10 models on IFEval, with Embed 4 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 sits at #410 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 22.6 points. The median model in this index scores 81.2, which puts Embed 4 below the midpoint.

Cohere models average 77.5 on this benchmark. Embed 4 is 4.0 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 is 3.0 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 73.5 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 $4.79 per million input tokens, Embed 4 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
SmolLM3 Instruct Hugging Face 8192 $1.69 63.6
Reka Flash Mini Reka AI 16384 $5.77 65.5
Mistral Large 3 8B Mistral AI 16384 $1.62 61.6
Doubao 1.5 Pro Nano ByteDance 16384 $5.78 66.6
Embed 4 Cohere 32768 $4.79 63.8
Embed 4 Turbo Cohere 4096 $5.13 64.0
Fusion Mini OpenRouter 4096 $4.89 63.3

Other benchmarks for Embed 4

BenchmarkScoreRankPercentileRelative
MMLU-Pro 67.9 419 30th
GPQA Diamond 61.6 393 35th
SWE-bench Verified 51.7 408 32th
HumanEval 69.3 406 32th
MATH-500 66.0 412 31th
AIME 2025 54.1 422 30th
LiveCodeBench 54.3 411 32th
TruthfulQA 69.9 401 33th
HellaSwag 75.3 436 27th
MMMU 58.2 455 24th
Arena Elo 1286.4 437 27th

FAQ

What score does Embed 4 get on IFEval?

Embed 4 scores 73.5 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Embed 4 rank on IFEval?

It ranks #410 of 600 models, in the 32nd percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Embed 4 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 cost?

Embed 4 costs $4.79 per million input tokens and $20.86 per million output tokens.

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