DeepSeek V4 Pro vs Mistral Medium 3.5 128B
At a Glance
| Compare |  DeepSeek V4 ProDeepSeek |  Mistral Medium 3.5 128BMistral AI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #28 of 4655.3 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 36.9–70.2 | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #10 of 44$0.054 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #12 of 3858.4 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 49.2–65.9 | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.66DeepSeek ↗ · Sep 2, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $1.5441Openrouter ↗ · Aug 28, 2026 | Not reported |
| Context windowMaximum documented tokens | 1,049K | 262K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 28, 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 →
Available Benchmarks
| Benchmark | DeepSeek-V4-Pro | Mistral-Medium-3.5-128B |
|---|---|---|
| LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · leader | -0.71100% of row best · score · DeepSeek V4 Pro; 95% CI [-1.64679871, 0.21730076]; sessions 35465; observations 1910125; rank 30 | -10.8890% of row best · score · Mistral Medium 3.5; 95% CI [-12.33636331, -9.41760729]; sessions 10244; observations 358935; rank 43 |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,450.63100% of row best · rating · deepseek-v4-pro; 95% CI [1446.64622706, 1454.61308427]; votes 54130; rank 43 | 1,420.5898% of row best · rating · mistral-medium-3.5; 95% CI [1414.04225396, 1427.11615611]; votes 10996; rank 104 |
| Overall ResultCounted from the protocol-matched rows above | 2 benchmark winsNo overall winner | 0 benchmark winsNo overall winner |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | DeepSeek-V4-Pro | Mistral-Medium-3.5-128B |
|---|---|---|
| Developer | DeepSeek | Mistral AI |
| Family | Deepseek V4 Pro | Mistral Medium 3 5 128b |
| Model | DeepSeek-V4-Pro | Mistral-Medium-3.5-128B |
| Version | DeepSeek-V4-Pro | Mistral-Medium-3.5-128B |
| Lifecycle | active | active |
| Released | 2026-04-24 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,049K | 262K |
| Total parameters | 1.6T | 127.7B |
| Active parameters | 49B | Unknown |
| License | mit | other |
| Open weights | Yes | Yes |
| API available | Yes | Unknown |
| Self-hostable | Yes | Yes |
| Provider access | DeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Unknown |
| Capabilities | chat, generation, reasoning | chat, generation, reasoning, tools |
DeepSeek V4 Pro Capabilities
Mistral Medium 3.5 128B Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
DeepSeek-V3.2DeepSeek | vs | DeepSeek-V4-ProDeepSeek | family variantstext |
DeepSeek-V4-ProDeepSeek | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | DeepSeek-V4-ProDeepSeek | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs | DeepSeek-V4.1-FlashDeepSeek | family variantstext |
DeepSeek-V4-ProDeepSeek | vs | Grok 4.6xAI | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | DeepSeek-V4-ProDeepSeek | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs |  GLM-5.3Z.ai | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | DeepSeek-V4-ProDeepSeek | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Pro vs Mistral Medium 3.5 128B FAQs
Is DeepSeek V4 Pro or Mistral Medium 3.5 128B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro and Mistral Medium 3.5 128B, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V4 Pro or Mistral Medium 3.5 128B?+
Only DeepSeek V4 Pro has a directly sourced input price: $0.66 per million tokens. Only DeepSeek V4 Pro has a directly sourced output price: $1.5441 per million tokens.
Which has a larger context window, DeepSeek V4 Pro or Mistral Medium 3.5 128B?+
DeepSeek V4 Pro has the larger sourced context window. DeepSeek V4 Pro supports 1,049K and Mistral Medium 3.5 128B supports 262K.
Which performs better in benchmarks, DeepSeek V4 Pro or Mistral Medium 3.5 128B?+
There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.
Can DeepSeek V4 Pro or Mistral Medium 3.5 128B be self-hosted?+
Both models have the same recorded self-hosting status: supported. DeepSeek V4 Pro is open weight; Mistral Medium 3.5 128B is open weight.
Can DeepSeek V4 Pro and Mistral Medium 3.5 128B understand images?+
DeepSeek V4 Pro is not documented with image input; Mistral Medium 3.5 128B is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek V4 Pro or Mistral Medium 3.5 128B?+
Neither has a larger sourced maximum output. DeepSeek V4 Pro is — and Mistral Medium 3.5 128B is —.
Do DeepSeek V4 Pro and Mistral Medium 3.5 128B support reasoning and tool use?+
DeepSeek V4 Pro: reasoning. Mistral Medium 3.5 128B: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V4 Pro or Mistral Medium 3.5 128B?+
DeepSeek V4 Pro has 6 sourced provider routes; Mistral Medium 3.5 128B has 0, so DeepSeek V4 Pro has broader tracked availability.
Which offers better value, DeepSeek V4 Pro or Mistral Medium 3.5 128B?+
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.