DeepSeek R1 vs Mistral Medium 3.5 128B
At a Glance
| Compare |  DeepSeek R1DeepSeek |  Mistral Medium 3.5 128BMistral AI |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.70Openrouter ↗ · Aug 28, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $2.50Openrouter ↗ · Aug 28, 2026 | Not reported |
| Context windowMaximum documented tokens | 164K | 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-R1 | Mistral-Medium-3.5-128B |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,372.6097% of row best · rating · deepseek-r1; 95% CI [1367.75270193, 1377.44238946]; votes 18524; rank 168 | 1,420.58100% 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 | 0 benchmark winsNo overall winner | 1 benchmark winNo 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-R1 | Mistral-Medium-3.5-128B |
|---|---|---|
| Developer | DeepSeek | Mistral AI |
| Family | Deepseek R1 | Mistral Medium 3 5 128b |
| Model | DeepSeek-R1 | Mistral-Medium-3.5-128B |
| Version | DeepSeek-R1 | Mistral-Medium-3.5-128B |
| Lifecycle | active | active |
| Released | 2025-01-20 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image |
| Output modalities | Text | Text |
| Context window | 164K | 262K |
| Total parameters | 684.5B | 127.7B |
| Active parameters | 37B | Unknown |
| License | mit | other |
| Open weights | Yes | Yes |
| API available | Yes | Unknown |
| Self-hostable | Yes | Yes |
| Provider access | Hugging Face (Standard), Openrouter (Standard) | Unknown |
| Capabilities | chat, generation, reasoning | chat, generation, reasoning, tools |
DeepSeek R1 Capabilities
Mistral Medium 3.5 128B Capabilities
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Primary Evidence
Sources and Freshness
Questions
DeepSeek R1 vs Mistral Medium 3.5 128B FAQs
Is DeepSeek R1 or Mistral Medium 3.5 128B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek R1 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 R1 or Mistral Medium 3.5 128B?+
Only DeepSeek R1 has a directly sourced input price: $0.70 per million tokens. Only DeepSeek R1 has a directly sourced output price: $2.50 per million tokens.
Which has a larger context window, DeepSeek R1 or Mistral Medium 3.5 128B?+
Mistral Medium 3.5 128B has the larger sourced context window. DeepSeek R1 supports 164K and Mistral Medium 3.5 128B supports 262K.
Which performs better in benchmarks, DeepSeek R1 or Mistral Medium 3.5 128B?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can DeepSeek R1 or Mistral Medium 3.5 128B be self-hosted?+
Both models have the same recorded self-hosting status: supported. DeepSeek R1 is open weight; Mistral Medium 3.5 128B is open weight.
Can DeepSeek R1 and Mistral Medium 3.5 128B understand images?+
DeepSeek R1 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 R1 or Mistral Medium 3.5 128B?+
Neither has a larger sourced maximum output. DeepSeek R1 is 33K and Mistral Medium 3.5 128B is —.
Do DeepSeek R1 and Mistral Medium 3.5 128B support reasoning and tool use?+
DeepSeek R1: 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 R1 or Mistral Medium 3.5 128B?+
DeepSeek R1 has 2 sourced provider routes; Mistral Medium 3.5 128B has 0, so DeepSeek R1 has broader tracked availability.
Which offers better value, DeepSeek R1 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.