Llama 3.1 Cerebras 7B: pricing, context window and benchmarks
Llama 3.1 Cerebras 7B is a small open-weight model from Cerebras. It offers a 32,768-token context window, costs $0.95 per million input tokens and $4.53 per million output tokens, and averages 56.5 across the index's benchmark suite.
Pricing
Llama 3.1 Cerebras 7B costs $0.95 per million input tokens and $4.53 per million output tokens. A blended 3:1 input-to-output mix works out to about $1.84 per million tokens. Cached input is listed at $0.12 per million tokens.
| Item | Price | Notes |
|---|---|---|
| Input | $0.95 | per 1M tokens |
| Output | $4.53 | per 1M tokens |
| Cached input | $0.12 | per 1M tokens |
| Blended 3:1 | $1.84 | estimate per 1M tokens |
| 1M in + 1M out | $5.48 | 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 | 62.9 | 490 | 18th | |
| GPQA Diamond | 51.7 | 502 | 16th | |
| SWE-bench Verified | 41.5 | 506 | 16th | |
| HumanEval | 60.3 | 500 | 17th | |
| MATH-500 | 55.8 | 509 | 15th | |
| AIME 2025 | 44.6 | 500 | 17th | |
| LiveCodeBench | 47.3 | 472 | 21th | |
| IFEval | 69.2 | 472 | 21th | |
| TruthfulQA | 61.9 | 506 | 16th | |
| HellaSwag | 73.7 | 461 | 23th | |
| MMMU | 52.4 | 525 | 13th | |
| Arena Elo | 1262.0 | 471 | 22th |
What Llama 3.1 Cerebras 7B is good for
Llama 3.1 Cerebras 7B is a small model. That makes it a good fit for classification, extraction, routing, summarization and other high-volume jobs where latency and cost dominate. It is not the right pick for open-ended frontier reasoning, but at $0.95 per million input tokens it can handle a large share of production traffic.
Strengths
- Input price of $0.95 per million tokens is at or below the index median.
- Open weights make self-hosting, fine-tuning and data-residency review possible.
Trade-offs
- Average benchmark score is below the index median; test it on your own task.
- Less reliable on open-ended reasoning and complex multi-step instructions.
How it compares
| Model | Provider | Context | Input / 1M | Avg score |
|---|---|---|---|---|
| Llama 3.3 Groq 7B | Groq | 16384 | $1.01 | 56.7 |
| DeepSeek-R1 1.5B | DeepSeek | 16384 | $1.04 | 56.6 |
| Llama 3 Modal 8B | Modal | 32768 | $0.98 | 56.6 |
| Gemma 3 8B | Google DeepMind | 16384 | $0.96 | 56.5 |
| Llama 3.1 Cerebras 7B | Cerebras | 32768 | $0.95 | 56.5 |
| Llama 3.1 Turbo 7B | Together AI | 8192 | $0.98 | 56.4 |
FAQ
How much does Llama 3.1 Cerebras 7B cost?
Llama 3.1 Cerebras 7B is listed at $0.95 per million input tokens and $4.53 per million output tokens. Cached input is $0.12 per million tokens. A blended 3:1 input-to-output mix is about $1.84 per million tokens.
What is the context window of Llama 3.1 Cerebras 7B?
Llama 3.1 Cerebras 7B has a context window of 32,768 tokens and can emit up to 16,384 output tokens per request in this index.
Is Llama 3.1 Cerebras 7B open weights?
Yes. Llama 3.1 Cerebras 7B is listed as an open-weight model under a open weights licence.
How does Llama 3.1 Cerebras 7B score on benchmarks?
Llama 3.1 Cerebras 7B averages 56.5 across the scored benchmarks in this index, ranking #499 of 600 models. Its strongest relative result is Arena Elo at 1262.0.
What is Llama 3.1 Cerebras 7B best for?
Llama 3.1 Cerebras 7B is a small model. That makes it a good fit for classification, extraction, routing, summarization and other high-volume jobs where latency and cost dominate. It is not the right pick for open-ended frontier reasoning, but at $0.95 per million input tokens it can handle a large share of production traffic.