Embed 4 Max on IFEval: score, rank and what it means
Embed 4 Max scores 75.3 on IFEval, placing it #395 of 600 models in the index. The benchmark average is 78.6 and the leader is Claude Opus 4.5 Pro at 96.1.
Score distribution
The chart shows the top 10 models on IFEval, with Embed 4 Max highlighted. Longer bars mean higher scores.
Top 10 leaderboard
| # | Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|---|
| 1 | Claude Opus 4.5 Pro | Anthropic | 200000 | $20.98 | 89.1 |
| 2 | Claude Opus 4.5 Reasoning | Anthropic | 2000000 | $20.91 | 88.2 |
| 3 | GPT-5.2 Pro | OpenAI | 2000000 | $21.32 | 89.6 |
| 4 | GPT-5.2 Max | OpenAI | 1000000 | $21.39 | 89.2 |
| 5 | GPT-5.2 Reasoning | OpenAI | 1000000 | $20.98 | 87.5 |
| 6 | GPT-5.1 Pro | OpenAI | 200000 | $19.77 | 87.8 |
| 7 | Gemini 3 Pro Max | Google DeepMind | 2000000 | $20.57 | 87.9 |
| 8 | GPT-5.1 Reasoning | OpenAI | 400000 | $20.27 | 88.3 |
| 9 | Claude Opus 4.5 Max | Anthropic | 1000000 | $20.90 | 87.8 |
| 10 | o4 Reasoning | OpenAI | 1000000 | $19.69 | 87.5 |
What this score means
On IFEval, Embed 4 Max sits at #395 of 600. The leader, Claude Opus 4.5 Pro, scores 96.1, so the gap to the top is 20.8 points. The median model in this index scores 81.2, which puts Embed 4 Max below the midpoint.
Cohere models average 77.5 on this benchmark. Embed 4 Max is 2.2 points below that provider line, so it is a weaker result than the average Cohere model.
Among mid-range models, the average is 76.5. Embed 4 Max is 1.2 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 75.3 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 $5.68 per million input tokens, Embed 4 Max is above the median input price of $4.00 across the 600 models scored on IFEval. 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 |
|---|---|---|---|---|
| Nova Lite Mini | Amazon | 16384 | $5.43 | 65.0 |
| Nemotron Nano Base | NVIDIA | 8192 | $1.85 | 65.0 |
| Molmo Base | Allen Institute for AI | 4096 | $2.02 | 65.0 |
| Kimi K2 8B | Moonshot AI | 8192 | $1.86 | 64.7 |
| Embed 4 Max | Cohere | 8192 | $5.68 | 66.1 |
| Nemotron Nano Instruct | NVIDIA | 32768 | $2.33 | 67.4 |
| DeepSeek-V3.2 7B | DeepSeek | 4096 | $1.75 | 63.2 |
Other benchmarks for Embed 4 Max
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 72.5 | 375 | 38th | |
| GPQA Diamond | 59.0 | 415 | 31th | |
| SWE-bench Verified | 55.1 | 383 | 36th | |
| HumanEval | 69.6 | 401 | 33th | |
| MATH-500 | 64.8 | 420 | 30th | |
| AIME 2025 | 61.5 | 377 | 37th | |
| LiveCodeBench | 58.2 | 386 | 36th | |
| TruthfulQA | 68.3 | 411 | 32th | |
| HellaSwag | 76.9 | 417 | 31th | |
| MMMU | 66.1 | 370 | 38th | |
| Arena Elo | 1326.3 | 392 | 35th |
FAQ
What score does Embed 4 Max get on IFEval?
Embed 4 Max scores 75.3 on IFEval in this index. The benchmark average is 78.6 and the top score is 96.1.
How does Embed 4 Max rank on IFEval?
It ranks #395 of 600 models, in the 34th percentile. The leader is Claude Opus 4.5 Pro at 96.1.
Is Embed 4 Max good at IFEval?
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 IFEval score calculated?
IFEval is a instruction following 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 Max cost?
Embed 4 Max costs $5.68 per million input tokens and $21.60 per million output tokens.