Instruction following · Cohere

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

Embed 4 Turbo scores 73.4 on IFEval, placing it #411 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
73.4
0–100 scale
Rank
#411
of 600
Percentile
32th
within the index
Benchmark avg
78.6
all models
Leader
96.1
Claude Opus 4.5 Pro
Gap to leader
22.7
points

Score distribution

The chart shows the top 10 models on IFEval, with Embed 4 Turbo 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 Turbo sits at #411 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 22.7 points. The median model in this index scores 81.2, which puts Embed 4 Turbo below the midpoint.

Cohere models average 77.5 on this benchmark. Embed 4 Turbo is 4.1 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 Turbo is 3.1 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 73.4 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 $5.13 per million input tokens, Embed 4 Turbo 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
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
StableLM 2 Stability AI 8192 $1.91 65.0

Other benchmarks for Embed 4 Turbo

BenchmarkScoreRankPercentileRelative
MMLU-Pro 70.6 392 35th
GPQA Diamond 58.4 422 30th
SWE-bench Verified 50.7 415 31th
HumanEval 70.0 392 35th
MATH-500 68.7 391 35th
AIME 2025 53.1 432 28th
LiveCodeBench 55.0 405 33th
TruthfulQA 67.6 421 30th
HellaSwag 77.1 415 31th
MMMU 59.5 433 28th
Arena Elo 1324.1 394 34th

FAQ

What score does Embed 4 Turbo get on IFEval?

Embed 4 Turbo scores 73.4 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.

How does Embed 4 Turbo rank on IFEval?

It ranks #411 of 600 models, in the 32nd percentile. The leader is Claude Opus 4.5 Pro at 96.1.

Is Embed 4 Turbo 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 Turbo cost?

Embed 4 Turbo costs $5.13 per million input tokens and $22.04 per million output tokens.

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