Reasoning · Cohere

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

Embed 4 Pro scores 61.3 on GPQA Diamond, placing it #397 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.

Score
61.3
0–100 scale
Rank
#397
of 600
Percentile
34th
within the index
Benchmark avg
65.6
all models
Leader
87.0
GPT-5.2 Reasoning
Gap to leader
25.7
points

Score distribution

The chart shows the top 10 models on GPQA Diamond, with Embed 4 Pro 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 Pro sits at #397 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 25.7 points. The median model in this index scores 68.8, which puts Embed 4 Pro below the midpoint.

Cohere models average 63.7 on this benchmark. Embed 4 Pro is 2.4 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 Pro is 1.6 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 61.3 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 $5.05 per million input tokens, Embed 4 Pro 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
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
Nova Lite Mini Amazon 16384 $5.43 65.0
Embed 4 Pro Cohere 4096 $5.05 63.5
SmolLM3 Hugging Face 8192 $1.71 63.1
Nova Pro Nano Amazon 8192 $5.44 65.4

Other benchmarks for Embed 4 Pro

BenchmarkScoreRankPercentileRelative
MMLU-Pro 69.3 404 33th
SWE-bench Verified 52.0 405 33th
HumanEval 68.0 414 31th
MATH-500 63.8 427 29th
AIME 2025 53.2 431 28th
LiveCodeBench 52.2 426 29th
IFEval 72.8 419 30th
TruthfulQA 66.8 433 28th
HellaSwag 78.6 397 34th
MMMU 60.5 423 30th
Arena Elo 1316.6 399 34th

FAQ

What score does Embed 4 Pro get on GPQA Diamond?

Embed 4 Pro scores 61.3 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.

How does Embed 4 Pro rank on GPQA Diamond?

It ranks #397 of 600 models, in the 34th percentile. The leader is GPT-5.2 Reasoning at 87.0.

Is Embed 4 Pro 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 Pro cost?

Embed 4 Pro costs $5.05 per million input tokens and $19.40 per million output tokens.

Related