DeepSeek V4 Pro 0813 vs Mistral Large 3
Benchmark Performance
Available Benchmarks
| Benchmark | DeepSeek-V4-Pro-0813 | Mistral Large 3 |
|---|---|---|
| ToneBench2026-08-28-10-task-cd9819ab6e4d · overall_score · leader | 84.04100% of row best · points · DeepSeek V4 Pro 0813 (max) · 18,922 output tokens / case | 70.3984% of row best · points · Mistral Large 3 · 2,056 output tokens / case |
| 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-0813 | Mistral Large 3 |
|---|---|---|
| Developer | DeepSeek | Mistral AI |
| Family | Deepseek V4 Pro | Mistral Large 3 |
| Model | DeepSeek-V4-Pro-0813 | Mistral Large 3 |
| Version | DeepSeek-V4-Pro-0813 | Mistral Large 3 |
| Lifecycle | active | active |
| Released | 2026-08-13 | 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 | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard) | Mistral AI (Standard), Openrouter (Standard) |
| Capabilities | agents, chat, coding, generation, reasoning, tools | agents, chat, generation, structured_outputs, tools, vision |
17 comparable fields · 12 material differences · Pair passes the primary-source comparison gate
DeepSeek V4 Pro 0813 Capabilities
Mistral Large 3 Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
DeepSeek-V4-Pro-0813DeepSeek | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | DeepSeek-V4-Pro-0813DeepSeek | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs | DeepSeek-V4-Pro-0813DeepSeek | family variantstext |
DeepSeek-V4-Pro-0813DeepSeek | vs | Grok 4.6xAI | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | DeepSeek-V4-Pro-0813DeepSeek | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs |  GLM-5.3Z.ai | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | DeepSeek-V4-Pro-0813DeepSeek | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Pro 0813 vs Mistral Large 3 FAQs
Is DeepSeek V4 Pro 0813 or Mistral Large 3 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro 0813 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 0813 or Mistral Large 3?+
DeepSeek V4 Pro 0813 is $1.30 and Mistral Large 3 is $0.50 per million tokens, so Mistral Large 3 is cheaper on this metric. DeepSeek V4 Pro 0813 is $2.60 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 0813 or Mistral Large 3?+
DeepSeek V4 Pro 0813 has the larger sourced context window. DeepSeek V4 Pro 0813 supports 1,049K and Mistral Large 3 supports 262K.
Which performs better in benchmarks, DeepSeek V4 Pro 0813 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 0813 or Mistral Large 3 be self-hosted?+
Both models have the same recorded self-hosting status: supported. DeepSeek V4 Pro 0813 is open weight; Mistral Large 3 is open weight.
Can DeepSeek V4 Pro 0813 and Mistral Large 3 understand images?+
DeepSeek V4 Pro 0813 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 0813 or Mistral Large 3?+
Neither has a larger sourced maximum output. DeepSeek V4 Pro 0813 is — and Mistral Large 3 is —.
Do DeepSeek V4 Pro 0813 and Mistral Large 3 support reasoning and tool use?+
DeepSeek V4 Pro 0813: reasoning and tool calling. 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 0813 or Mistral Large 3?+
DeepSeek V4 Pro 0813 has 3 sourced provider routes; Mistral Large 3 has 2, so DeepSeek V4 Pro 0813 has broader tracked availability.
Which offers better value, DeepSeek V4 Pro 0813 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.