Llemma 7B is a language model for mathematics. It was initialized with Code Llama 7B weights, and trained on the Proof-Pile-2 for 200B tokens. Llemma models are particularly strong at chain-of-thought mathematical reasoning and using comput…
Model details →EleutherAI: Llemma 7b vs Sao10K: Llama 3.1 70B Hanami x1
EleutherAI: Llemma 7b wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
This is [Sao10K](/sao10k)'s experiment over [Euryale v2.2](/sao10k/l3.1-euryale-70b).
Model details →Side-by-side comparison
| Capability | EleutherAI: Llemma 7b | Sao10K: Llama 3.1 70B Hanami x1 | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 4K | 16K | 🏆 Sao10K: Llama 3.1 70B Hanami x1 |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.80 | $3.00 | 🏆 EleutherAI: Llemma 7b |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $1.20 | $3.00 | 🏆 EleutherAI: Llemma 7b |
| Tool / function calling First-class support for emitting structured tool calls. | — | — | Tie |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is EleutherAI: Llemma 7b better than Sao10K: Llama 3.1 70B Hanami x1?
EleutherAI: Llemma 7b wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between EleutherAI: Llemma 7b and Sao10K: Llama 3.1 70B Hanami x1?
Input: $0.80 vs $3.00 per 1M tokens. Output: $1.20 vs $3.00 per 1M tokens.
What context windows do EleutherAI: Llemma 7b and Sao10K: Llama 3.1 70B Hanami x1 support?
EleutherAI: Llemma 7b supports up to 4K tokens. Sao10K: Llama 3.1 70B Hanami x1 supports up to 16K tokens.
Do both EleutherAI: Llemma 7b and Sao10K: Llama 3.1 70B Hanami x1 support tool calling?
EleutherAI: Llemma 7b: not advertised. Sao10K: Llama 3.1 70B Hanami x1: not advertised.