Pick a winner in each dimension. You can change your vote any time.
Correctness and depth of what it produces
Tool calls, instruction-following, and multi-step tasks
Tokens per second and time-to-first-token
How much capability you get per dollar
Consistent results: fewer refusals, loops and format breaks
Pricing and capabilities synced from the OpenRouter catalogue. Scores are editorial (0–10).
Choose Beam 1.0 if you want trying a permissively licensed open-weight coding model through OpenRouter, or self-hosting it where code must stay on your own hardware. Choose Mistral Large 4 if you want open-weight, EU-provenance agent work that needs long context and image input.
In our editorial scoring, Mistral Large 4 leads in 4 of five dimensions (output quality, agentic ability, value for money and reliability), while Beam 1.0 leads in 0. On price, Beam 1.0 runs about $1.60 per 1M tokens (blended) and is open-weight; Mistral Large 4 is about $1.10 and open-weight.
Setting it up? Mistral Large 4: model ID, providers and agent config
The agent matters as much as the model. Compare AI agents →
Current Claude, GPT, Gemini and open models run on Standard Compute