Instruction following · Cohere

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

Embed 4 Reasoning scores 76.0 on IFEval, placing it #389 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
76.0
0–100 scale
Rank
#389
of 600
Percentile
35th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
20.1
points

Score distribution

The chart shows the top 10 models on IFEval, with Embed 4 Reasoning 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 Reasoning sits at #389 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 20.1 points. The median model in this index scores 81.2, which puts Embed 4 Reasoning below the midpoint.

Cohere models average 77.5 on this benchmark. Embed 4 Reasoning is 1.5 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 Reasoning is 0.5 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 76.0 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 $5.50 per million input tokens, Embed 4 Reasoning 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
Mixtral Groq Base Groq 32768 $2.66 68.4
Claude 3.7 Sonnet Nano Anthropic 65536 $6.93 68.9
Molmo Chat Allen Institute for AI 32768 $2.40 66.7
DeepSeek-V3.2 8B DeepSeek 32768 $2.02 66.2
Embed 4 Reasoning Cohere 4096 $5.50 65.3
Molmo Instruct Allen Institute for AI 32768 $2.53 68.3
Nova Lite Mini Amazon 16384 $5.43 65.0

Other benchmarks for Embed 4 Reasoning

BenchmarkScoreRankPercentileRelative
MMLU-Pro 70.1 395 34th
GPQA Diamond 62.8 385 36th
SWE-bench Verified 49.2 427 29th
HumanEval 68.9 409 32th
MATH-500 67.1 406 32th
AIME 2025 57.9 400 33th
LiveCodeBench 56.1 396 34th
TruthfulQA 70.4 396 34th
HellaSwag 76.5 420 30th
MMMU 62.8 400 33th
Arena Elo 1310.3 408 32th

FAQ

What score does Embed 4 Reasoning get on IFEval?

Embed 4 Reasoning scores 76.0 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Embed 4 Reasoning rank on IFEval?

It ranks #389 of 600 models, in the 35th percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Embed 4 Reasoning 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 Reasoning cost?

Embed 4 Reasoning costs $5.50 per million input tokens and $26.10 per million output tokens.

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