Embed 4 Reasoning on GPQA Diamond: score, rank and what it means
Embed 4 Reasoning scores 62.8 on GPQA Diamond, placing it #385 of 600 models in the index. The benchmark average is 65.6 and the leader is GPT-5.2 Reasoning at 87.0.
Score distribution
The chart shows the top 10 models on GPQA Diamond, with Embed 4 Reasoning highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg 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 Reasoning sits at #385 of 600. The leader, GPT-5.2 Reasoning, scores 87.0, so the gap to the top is 24.2 points. The median model in this index scores 68.8, which puts Embed 4 Reasoning below the midpoint.
Cohere models average 63.7 on this benchmark. Embed 4 Reasoning is 0.9 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 Reasoning is 0.1 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 62.8 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 GPQA Diamond. The models immediately around it in the ranking are shown below so you can compare score and price together.
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Molmo Chat | Allen Institute for AI | 32768 | $2.40 | 66.7 |
| Firesearch Reasoning | Fireworks AI | 32768 | $7.74 | 69.0 |
| Hunyuan-Turbo Mini | Tencent | 8192 | $6.59 | 68.3 |
| Gemini 3 Flash Nano | Google DeepMind | 32768 | $7.56 | 69.4 |
| Embed 4 Reasoning | Cohere | 4096 | $5.50 | 65.3 |
| Doubao 1.5 Pro Nano | ByteDance | 16384 | $5.78 | 66.6 |
| Sonar Pro Nano | Perplexity | 32768 | $5.50 | 66.1 |
Other benchmarks for Embed 4 Reasoning
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 70.1 | 395 | 34th | |
| 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 | |
| IFEval | 76.0 | 389 | 35th | |
| 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 GPQA Diamond?
Embed 4 Reasoning scores 62.8 on GPQA Diamond in this index. The benchmark average is 65.6 and the top score is 87.0.
How does Embed 4 Reasoning rank on GPQA Diamond?
It ranks #385 of 600 models, in the 36th percentile. The leader is GPT-5.2 Reasoning at 87.0.
Is Embed 4 Reasoning 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 Reasoning cost?
Embed 4 Reasoning costs $5.50 per million input tokens and $26.10 per million output tokens.