Mistral Large 3 2512
mistralai/mistral-large-2512
Mistral Large 3 2512 is a text, image, and file input model with a text output. It has a context length of 262,144 tokens, supports tools, and is open-weight. The model costs $0.5 per million input tokens and $1.5 per million output tokens.
- tool use
- structured outputs
- open-weight
At a glance
Specifications
What the API gives you
- Context window
- 262K tokens
- Max output
- 210K tokens
- Input price
- $0.50 / 1M tokens
- Output price
- $1.50 / 1M tokens
- Cache read
- $0.050 / 1M tokens
- Modalities
- text, image, file → text
- Knowledge cutoff
- —
- Released
- Dec 2, 2025
Measured evidence
Public benchmark record
- Design Arena Coding
- 1142 Elo2026-10-20
- Design Arena UI
- 1103 Elo2026-10-20
- Design Arena Website
- 1162 Elo2026-10-20
- LMArena WebDev
- 1230 Elo2026-10-19
LMArena data licensed CC-BY-4.0. Aider (Apache-2.0) and SWE-bench (MIT) are open. Design Arena uses blind human preference.
Task evidence
How broad is the support?
Each status is exact to this model version and the selected task. Official release claims remain provisional.
- Best LLM for Frontend & UIEstablished evidence
82% of intended weighted task evidence across 2 independent sources. 6 of 6 configured evaluation feeds currently have results.
- Best LLM for CodingEstablished evidence
36% of intended weighted task evidence across 2 independent sources. 7 of 7 configured evaluation feeds currently have results.
- Best LLM for Code CompletionProvisional evidence
36% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Aider Polyglot or LiveBench Coding. 3 of 3 configured evaluation feeds currently have results.
- Best Local LLM for CodingProvisional evidence
21% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Aider Polyglot or LiveBench Coding. 4 of 4 configured evaluation feeds currently have results.
- Best LLM for Debugging & Code ReviewProvisional evidence
17% of intended weighted task evidence across 1 independent source; broader independent confirmation is still missing from Aider Polyglot or LiveBench Coding. 5 of 5 configured evaluation feeds currently have results.
Recommendation coverage
Where this model appears
Not currently included in a published recommendation. The task evidence panel above says exactly what is confirmed and what is still missing.
Catalog data via OpenRouter and models.dev. Last checked within the past 6 hours.