Mathematics · Cohere

Embed 4 Turbo on AIME 2025: score, rank and what it means

Embed 4 Turbo scores 53.1 on AIME 2025, placing it #432 of 600 models in the index. The benchmark average is 63.6 and the leader is Claude Opus 4.5 Pro at 91.4.

Score
53.1
0–100 scale
Rank
#432
of 600
Percentile
28th
within the index
Benchmark avg
63.6
all models
Leader
91.4
Claude Opus 4.5 Pro
Gap to leader
38.3
points

Score distribution

The chart shows the top 10 models on AIME 2025, with Embed 4 Turbo highlighted. Longer bars mean higher scores.

Claude Opus 4.5 Pro 91.4
GPT-5.2 Pro 91.0
GPT-5.1 Pro 90.6
GPT-5.2 90.6
o4 Reasoning 90.3
o4 Pro 89.9
Claude Opus 4.5 89.8
Gemini 3 Pro Max 89.6
Claude Opus 4.5 Max 89.3
Claude Opus 4.5 Reasoning 88.9

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
2 GPT-5.2 Pro OpenAI 2000000 $21.32 89.6
3 GPT-5.1 Pro OpenAI 200000 $19.77 87.8
4 GPT-5.2 OpenAI 2000000 $19.71 88.0
5 o4 Reasoning OpenAI 1000000 $19.69 87.5
6 o4 Pro OpenAI 1000000 $19.37 87.3
7 Claude Opus 4.5 Anthropic 400000 $19.42 87.7
8 Gemini 3 Pro Max Google DeepMind 2000000 $20.57 87.9
9 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
10 Claude Opus 4.5 Reasoning Anthropic 2000000 $20.91 88.2

What this score means

On AIME 2025, Embed 4 Turbo sits at #432 of 600. The leader, Claude Opus 4.5 Pro, scores 91.4, so the gap to the top is 38.3 points. The median model in this index scores 67.6, which puts Embed 4 Turbo below the midpoint.

Cohere models average 60.6 on this benchmark. Embed 4 Turbo is 7.5 points below that provider line, so it is a weaker result than the average Cohere model.

Among mid-range models, the average is 60.1. Embed 4 Turbo is 7.0 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 53.1 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 AIME 2025. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
Llama 3.3 8B Meta AI 8192 $1.26 60.1
MiniMax-M2 8B MiniMax 32768 $1.65 61.7
Mistral Large 3 8B Mistral AI 16384 $1.62 61.6
Embed 4 Pro Cohere 4096 $5.05 63.5
Embed 4 Turbo Cohere 4096 $5.13 64.0
Llama 4 Scout 7B Meta AI 32768 $1.30 60.0
DeepSeek-R1 7B DeepSeek 32768 $1.79 63.0

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
LiveCodeBench 55.0 405 33th
IFEval 73.4 411 32th
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 AIME 2025?

Embed 4 Turbo scores 53.1 on AIME 2025 in this index. The benchmark average is 63.6 and the top score is 91.4.

How does Embed 4 Turbo rank on AIME 2025?

It ranks #432 of 600 models, in the 28th percentile. The leader is Claude Opus 4.5 Pro at 91.4.

Is Embed 4 Turbo good at AIME 2025?

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 AIME 2025 score calculated?

AIME 2025 is a mathematics 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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