Reasoning · Cohere

Embed 4 on GPQA Diamond: score, rank and what it means

Embed 4 scores 61.6 on GPQA Diamond, placing it #393 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
61.6
0–100 scale
Rank
#393
of 600
Percentile
35th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
25.4
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Embed 4 highlighted. Longer bars mean higher scores.

GPT-5.2 Reasoning 87.0
GPT-5.1 Max 86.4
Claude Opus 4.5 Pro 86.0
GPT-5.1 Reasoning 85.6
Claude Sonnet 4.5 Reasoning 85.2
GPT-5.2 84.9
o4 Turbo 84.8
Claude Opus 4.5 Max 84.6
Grok 4 Turbo 84.5
Claude Sonnet 4.5 Max 84.4

Top 10 leaderboard

#ModelProviderContextInput / 1MAvg score
1 GPT-5.2 Reasoning OpenAI 1000000 $20.98 87.5
2 GPT-5.1 Max OpenAI 2000000 $20.50 87.9
3 Claude Opus 4.5 Pro Anthropic 200000 $20.98 89.1
4 GPT-5.1 Reasoning OpenAI 400000 $20.27 88.3
5 Claude Sonnet 4.5 Reasoning Anthropic 400000 $19.48 87.7
6 GPT-5.2 OpenAI 2000000 $19.71 88.0
7 o4 Turbo OpenAI 2000000 $19.34 86.6
8 Claude Opus 4.5 Max Anthropic 1000000 $20.90 87.8
9 Grok 4 Turbo xAI 1000000 $19.21 86.7
10 Claude Sonnet 4.5 Max Anthropic 1000000 $19.90 87.2

What this score means

On GPQA Diamond, Embed 4 sits at #393 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 25.4 points. The median model in this index scores 68.8, which puts Embed 4 below the midpoint.

Cohere models average 63.7 on this benchmark. Embed 4 is 2.1 points below that provider line, so it is a weaker result than the average Cohere model.

Among mid-range models, the average is 62.9. Embed 4 is 1.3 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 61.6 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 GPQA Diamond. The models immediately around it in the ranking are shown below so you can compare score and price together.

ModelProviderContextInput / 1MAvg score
StableLM 2 Instruct Stability AI 16384 $1.93 65.2
OLMo 2 Base Allen Institute for AI 65536 $2.39 67.4
Arctic Base Snowflake 32768 $2.27 67.5
StableLM 2 Chat Stability AI 8192 $1.79 64.6
Embed 4 Cohere 32768 $4.79 63.8
Command A Nano Cohere 8192 $5.90 66.3
Molmo Instruct Allen Institute for AI 32768 $2.53 68.3

Other benchmarks for Embed 4

BenchmarkScoreRankPercentileRelative
MMLU-Pro 67.9 419 30th
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
IFEval 73.5 410 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 GPQA Diamond?

Embed 4 scores 61.6 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Embed 4 rank on GPQA Diamond?

It ranks #393 of 600 models, in the 35th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Embed 4 good at GPQA Diamond?

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 GPQA Diamond score calculated?

GPQA Diamond is a reasoning 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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