DeepSeek V4 Pro vs Mistral Large 3
Benchmark Performance
Available Benchmarks
| Benchmark | DeepSeek-V4-Pro | Mistral Large 3 |
|---|---|---|
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader | 1,451.00100% of row best · rating · deepseek-v4-pro; 95% CI [1447.00829245, 1454.98663953]; votes 54243; rank 41 | 1,427.6298% of row best · rating · mistral-large-3; 95% CI [1424.57601414, 1430.66670291]; votes 65336; rank 85 |
| Overall ResultCounted from the protocol-matched rows above | 1 benchmark winOverall lead | 0 benchmark wins |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Technical Differences
Side-by-Side Facts
| Field | DeepSeek-V4-Pro | Mistral Large 3 |
|---|---|---|
| Developer | DeepSeek | Mistral AI |
| Family | Deepseek V4 Pro | Mistral Large 3 |
| Model | DeepSeek-V4-Pro | Mistral Large 3 |
| Version | DeepSeek-V4-Pro | Mistral Large 3 |
| Lifecycle | active | active |
| Released | 2026-04-24 | 2025-12-02 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Document |
| Output modalities | Text | Text |
| Context window | 1,049K | 262K |
| Total parameters | 1.6T | 675B |
| Active parameters | 49B | 41B |
| License | mit | Apache-2.0 |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | DeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Mistral AI (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning | agents, chat, generation, structured_outputs, tools, vision |
17 comparable fields · 12 material differences · Pair passes the primary-source comparison gate
DeepSeek V4 Pro Capabilities
Mistral Large 3 Capabilities
Internal Comparison Graph
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|---|---|---|---|
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DeepSeek-V4-ProDeepSeek | vs | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Pro vs Mistral Large 3 FAQs
Is DeepSeek V4 Pro or Mistral Large 3 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro and Mistral Large 3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V4 Pro or Mistral Large 3?+
DeepSeek V4 Pro is $0.66 and Mistral Large 3 is $0.50 per million tokens, so Mistral Large 3 is cheaper on this metric. DeepSeek V4 Pro is $1.5441 and Mistral Large 3 is $1.50 per million tokens, so Mistral Large 3 is cheaper on this metric.
Which has a larger context window, DeepSeek V4 Pro or Mistral Large 3?+
DeepSeek V4 Pro has the larger sourced context window. DeepSeek V4 Pro supports 1,049K and Mistral Large 3 supports 262K.
Which performs better in benchmarks, DeepSeek V4 Pro or Mistral Large 3?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can DeepSeek V4 Pro or Mistral Large 3 be self-hosted?+
Both models have the same recorded self-hosting status: supported. DeepSeek V4 Pro is open weight; Mistral Large 3 is open weight.
Can DeepSeek V4 Pro and Mistral Large 3 understand images?+
DeepSeek V4 Pro is not documented with image input; Mistral Large 3 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek V4 Pro or Mistral Large 3?+
Neither has a larger sourced maximum output. DeepSeek V4 Pro is — and Mistral Large 3 is —.
Do DeepSeek V4 Pro and Mistral Large 3 support reasoning and tool use?+
DeepSeek V4 Pro: reasoning. Mistral Large 3: tool calling and image input. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V4 Pro or Mistral Large 3?+
DeepSeek V4 Pro has 6 sourced provider routes; Mistral Large 3 has 2, so DeepSeek V4 Pro has broader tracked availability.
Which offers better value, DeepSeek V4 Pro or Mistral Large 3?+
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.