Mistral Large 3 vs Mistral Large 4
At a Glance
| Compare | Mistral Large 3Mistral AI | Mistral Large 4Mistral AI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v4.4 | #28 of 5743.0 score · 1/3 sources · single-source provisional · missing LiveBench, ARC-AGI-2 · full-core range 14.3–81.0 | #21 of 5754.6 score · 1/3 sources · single-source provisional · missing ARC-AGI-2, LMArena Text · full-core range 18.2–84.9 |
| CostLower is better · Published-token output estimate | UnrankedNot in the 27-model eligible cohort | #9 of 27$0.054 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.9 | UnrankedNot in the 27-model eligible cohort | #13 of 2749.9 score · 1/3 sources · single-source provisional · missing ARC-AGI-2, LMArena Text · full-core range 31.7–65.0 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.25Openrouter ↗ · Oct 19, 2026 | $0.68Mistral AI ↗ · Oct 6, 2026 |
| Output priceFrom · USD / 1M tokens | $0.75Openrouter ↗ · Oct 19, 2026 | $2.09Mistral AI ↗ · Oct 6, 2026 |
| Context windowMaximum documented tokens | 262K | 1,000K |
| Model facts checked | Aug 29, 2026View model evidence → | Oct 8, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Decision Notes
- Workload evidence
- There is no protocol-matched publisher benchmark row for Mistral Large 3 and Mistral Large 4. Specifications and prices cannot establish which performs better on your workload. View evidence →
- Reference request
- For 1,000 uncached input and 1,000 output tokens on Mistral AI (openai; Standard; regions: not specified; quantization: not specified), Mistral Large 3 is USD 0.002000 and Mistral Large 4 is USD 0.002770. Rates observed 2026-08-29 to 2026-10-06. Reference-request estimate v1: (1,000 × input rate + 1,000 × output rate) / 1,000,000. Excludes cache, tool calls, retries, other fees and taxes; this is not measured task cost. View evidence →Published price source 1 ↗ Published price source 2 ↗
- Deployment requirements
- Mistral Large 3 is documented as self-hostable; Mistral Large 4 is of unknown self-hosting status. Recorded licenses: Mistral Large 3, Apache-2.0; Mistral Large 4, not reported. If you need local deployment, verify the license and hardware requirements; an unknown field does not establish permission or lack of support. View evidence →
Available Benchmarks
Side-by-Side Facts
| Field | Mistral Large 3 | Mistral Large 4 |
|---|---|---|
| Developer | Mistral AI | Mistral AI |
| Family | Mistral Large 3 | Mistral Large 4 |
| Model | Mistral Large 3 | Mistral Large 4 |
| Version | Mistral Large 3 | Mistral Large 4 |
| Lifecycle | active | preview |
| Released | 2025-12-02 | 2026-10-06 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Document | Text, Image, Document |
| Output modalities | Text | Text |
| Context window | 262K | 1,000K |
| Total parameters | 675B | 1.05T |
| Active parameters | 41B | 52B |
| License | Apache-2.0 | Unknown |
| Open weights | Yes | Unknown |
| API available | Yes | Yes |
| Self-hostable | Yes | Unknown |
| Provider access | Mistral AI (Standard), Openrouter (Standard) | Mistral AI (Standard) |
| Capabilities | agents, chat, generation, structured_outputs, tools, vision | agents, chat, generation, structured_outputs, tools, vision |
| Publisher version | Unknown | v26.10 |
| Vision encoder parameters | Unknown | 1600000000 parameters |
| Weights | Unknown | Mistral announced a later October release; no download or license is linked yet |
Mistral Large 3 Capabilities
Mistral Large 4 Capabilities
Primary Evidence
Sources and Freshness
Questions
Mistral Large 3 vs Mistral Large 4 FAQs
Is Mistral Large 3 or Mistral Large 4 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Mistral Large 3 and Mistral Large 4, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Mistral Large 3 or Mistral Large 4?+
Mistral Large 3 is $0.25 and Mistral Large 4 is $0.68 per million tokens, so Mistral Large 3 is cheaper on this metric. Mistral Large 3 is $0.75 and Mistral Large 4 is $2.09 per million tokens, so Mistral Large 3 is cheaper on this metric.
Which has a larger context window, Mistral Large 3 or Mistral Large 4?+
Mistral Large 4 has the larger sourced context window. Mistral Large 3 supports 262,144 tokens and Mistral Large 4 supports 1,000,000 tokens.
Which performs better in benchmarks, Mistral Large 3 or Mistral Large 4?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Mistral Large 3 or Mistral Large 4 be self-hosted?+
Mistral Large 3's sourced self-hosting status is supported; Mistral Large 4's is unknown. An unknown status does not establish support or lack of support. Mistral Large 3 is open weight; Mistral Large 4 is of unknown open-weight status.
Can Mistral Large 3 and Mistral Large 4 understand images?+
Mistral Large 3 is documented with image input; Mistral Large 4 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Mistral Large 3 or Mistral Large 4?+
Neither model has a sourced maximum output in this comparison, so a larger limit cannot be determined.
Do Mistral Large 3 and Mistral Large 4 support reasoning and tool use?+
Mistral Large 3: tool calling and image input. Mistral Large 4: tool calling and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Mistral Large 3 or Mistral Large 4?+
Mistral Large 3 has 2 sourced provider routes; Mistral Large 4 has 1, so Mistral Large 3 has broader tracked availability.
Which offers better value, Mistral Large 3 or Mistral Large 4?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.