Embed 4 Turbo: pricing, context window and benchmarks
Embed 4 Turbo is a mid-range model from Cohere. It offers a 4,096-token context window, costs $5.13 per million input tokens and $22.04 per million output tokens, and averages 64.0 across the index's benchmark suite.
Pricing
Embed 4 Turbo costs $5.13 per million input tokens and $22.04 per million output tokens. A blended 3:1 input-to-output mix works out to about $9.36 per million tokens. Cached input is listed at $0.55 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $5.13 | per 1M tokens |
| Output | $22.04 | per 1M tokens |
| Cached input | $0.55 | per 1M tokens |
| Blended 3:1 | $9.36 | estimate per 1M tokens |
| 1M in + 1M out | $27.17 | estimate |
Benchmarks
Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.
| Benchmark | Score | Rank | Percentile | Relative |
|---|---|---|---|---|
| MMLU-Pro | 70.6 | 392 | 35th | |
| GPQA Diamond | 58.4 | 422 | 30th | |
| SWE-bench Verified | 50.7 | 415 | 31th | |
| HumanEval | 70.0 | 392 | 35th | |
| MATH-500 | 68.7 | 391 | 35th | |
| AIME 2025 | 53.1 | 432 | 28th | |
| LiveCodeBench | 55.0 | 405 | 33th | |
| IFEval | 73.4 | 411 | 32th | |
| TruthfulQA | 67.6 | 421 | 30th | |
| HellaSwag | 77.1 | 415 | 31th | |
| MMMU | 59.5 | 433 | 28th | |
| Arena Elo | 1324.1 | 394 | 34th |
What Embed 4 Turbo is good for
Embed 4 Turbo is a general-purpose model in the index. It handles text generation, summarization and question answering, and it can be a sensible default when you need a balance of quality, price and context. At $5.13 per million input tokens with a 4,096-token window, check its benchmark profile against the specific task before committing.
Strengths
- Accepts more than text, including image input where the provider supports it.
Trade-offs
- Proprietary licence: you cannot download the weights or self-host the model.
- Context window of 4,096 tokens is small for long-document work.
- Average benchmark score is below the index median; test it on your own task.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| StableLM 2 Chat | Stability AI | 8192 | $1.79 | 64.6 |
| DeepSeek-R1 8B | DeepSeek | 16384 | $1.87 | 64.3 |
| Embed 4 Turbo | Cohere | 4096 | $5.13 | 64.0 |
| Embed 4 | Cohere | 32768 | $4.79 | 63.8 |
| SmolLM3 Instruct | Hugging Face | 8192 | $1.69 | 63.6 |
| Embed 4 Pro | Cohere | 4096 | $5.05 | 63.5 |
FAQ
How much does Embed 4 Turbo cost?
Embed 4 Turbo is listed at $5.13 per million input tokens and $22.04 per million output tokens. Cached input is $0.55 per million tokens. A blended 3:1 input-to-output mix is about $9.36 per million tokens.
What is the context window of Embed 4 Turbo?
Embed 4 Turbo has a context window of 4,096 tokens and can emit up to 4,096 output tokens per request in this index.
Is Embed 4 Turbo open weights?
No. Embed 4 Turbo is a proprietary model with a proprietary licence, so you cannot download the weights.
How does Embed 4 Turbo score on benchmarks?
Embed 4 Turbo averages 64.0 across the scored benchmarks in this index, ranking #410 of 600 models. Its strongest relative result is Arena Elo at 1324.1.
What is Embed 4 Turbo best for?
Embed 4 Turbo is a general-purpose model in the index. It handles text generation, summarization and question answering, and it can be a sensible default when you need a balance of quality, price and context. At $5.13 per million input tokens with a 4,096-token window, check its benchmark profile against the specific task before committing.