Embed 4 on MMMU: score, rank and what it means
Embed 4 scores 58.2 on MMMU, placing it #455 of 600 models in the index. The benchmark average is 67.1 and the leader is GPT-5.2 Max at 86.9.
Score distribution
The chart shows the top 10 models on MMMU, with Embed 4 highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 2 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 3 | GPT-5.2 | OpenAI | 2000000 | $19.71 | 88.0 |
| 4 | Claude Sonnet 4.5 Reasoning | Anthropic | 400000 | $19.48 | 87.7 |
| 5 | GPT-5.1 Max | OpenAI | 2000000 | $20.50 | 87.9 |
| 6 | Grok 4 Pro | xAI | 1000000 | $19.00 | 85.4 |
| 7 | Claude Opus 4.5 Reasoning | Anthropic | 2000000 | $20.91 | 88.2 |
| 8 | Claude Sonnet 4.5 Pro | Anthropic | 1000000 | $18.73 | 86.7 |
| 9 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 10 | GPT-5.2 Vision | OpenAI | 1000000 | $19.03 | 87.4 |
What this score means
On MMMU, Embed 4 sits at #455 of 600. The leader, GPT-5.2 Max, scores 86.9, so the gap to the top is 28.7 points. The median model in this index scores 70.0, which puts Embed 4 below the midpoint.
Cohere models average 65.1 on this benchmark. Embed 4 is 6.9 points below that provider line, so it is a weaker result than the average Cohere model.
Among mid-range models, the average is 65.0. Embed 4 is 6.8 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 58.2 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 MMMU. 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 |
|---|---|---|---|---|
| MiniMax-Text 8B | MiniMax | 4096 | $1.22 | 59.5 |
| Llama 3.1 Turbo 8B | Together AI | 32768 | $1.16 | 58.8 |
| Mistral Small 3 8B | Mistral AI | 8192 | $0.99 | 57.2 |
| SmolLM3 | Hugging Face | 8192 | $1.71 | 63.1 |
| Embed 4 | Cohere | 32768 | $4.79 | 63.8 |
| GLM-4.6 7B | Zhipu AI | 16384 | $1.52 | 61.8 |
| Llama 4 Scout 8B | Meta AI | 8192 | $1.46 | 61.2 |
Other benchmarks for Embed 4
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 67.9 | 419 | 30th | |
| GPQA Diamond | 61.6 | 393 | 35th | |
| 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 | |
| Arena Elo | 1286.4 | 437 | 27th |
FAQ
What score does Embed 4 get on MMMU?
Embed 4 scores 58.2 on MMMU in this index. The benchmark average is 67.1 and the top score is 86.9.
How does Embed 4 rank on MMMU?
It ranks #455 of 600 models, in the 24th percentile. The leader is GPT-5.2 Max at 86.9.
Is Embed 4 good at MMMU?
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 MMMU score calculated?
MMMU is a multimodal 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.