Gemini 3.6 Flash vs Mistral Medium 3.5 128B
At a Glance
| Compare |  Gemini 3.6 FlashGoogle DeepMind |  Mistral Medium 3.5 128BMistral AI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #19 of 4666.4 score · 3/3 sources · complete | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #11 of 44$0.055 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #5 of 3863.7 score · 3/3 sources · complete | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.75Google AI ↗ · Aug 29, 2026 | Not reported |
| Output priceFrom · USD / 1M tokens | $3.75Google AI ↗ · Aug 29, 2026 | Not reported |
| Context windowMaximum documented tokens | 1,049K | 262K |
| Model facts checked | Aug 29, 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 | Gemini 3.6 Flash | Mistral-Medium-3.5-128B |
|---|---|---|
| LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · leader | -5.94100% of row best · score · Gemini 3.6 Flash (High); 95% CI [-6.96648084, -4.90883694]; sessions 20773; observations 1181765; rank 39 | -10.8895% 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 | 1,476.14100% of row best · rating · gemini-3.6-flash-high; 95% CI [1471.32576175, 1480.95948376]; votes 26445; rank 18 | 1,420.5896% of row best · rating · mistral-medium-3.5; 95% CI [1414.04225396, 1427.11615611]; votes 10996; rank 104 |
| LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · leader | 1,299.76100% of row best · rating · gemini-3.6-flash-high; 95% CI [1290.11200178, 1309.40058033]; votes 5159; rank 16 | 1,222.0594% of row best · rating · mistral-medium-3.5; 95% CI [1212.30064904, 1231.79518832]; votes 5090; rank 71 |
| Overall ResultCounted from the protocol-matched rows above | 3 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 | Gemini 3.6 Flash | Mistral-Medium-3.5-128B |
|---|---|---|
| Developer | Google DeepMind | Mistral AI |
| Family | Gemini 3 | Mistral Medium 3 5 128b |
| Model | Gemini 3.6 Flash | Mistral-Medium-3.5-128B |
| Version | Gemini 3.6 Flash | Mistral-Medium-3.5-128B |
| Lifecycle | active | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio, Document | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,049K | 262K |
| Total parameters | Unknown | 127.7B |
| Active parameters | Unknown | Unknown |
| License | Unknown | other |
| Open weights | No | Yes |
| API available | Yes | Unknown |
| Self-hostable | No | Yes |
| Provider access | Google AI (Standard), Google Gemini (Standard) | Unknown |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning, tools |
Gemini 3.6 Flash Capabilities
Mistral Medium 3.5 128B Capabilities
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|---|---|---|---|
Gemini 3.6 FlashGoogle DeepMind | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
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Gemini 3.1 ProGoogle DeepMind | vs | Gemini 3.6 FlashGoogle DeepMind | family variantstext |
 DeepSeek-V4.1-FlashDeepSeek | vs | Gemini 3.6 FlashGoogle DeepMind | cross-developer peerstext |
Gemini 3.6 FlashGoogle DeepMind | vs | Grok 4.6xAI | cross-developer peerstext |
Gemini 3.6 FlashGoogle DeepMind | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
Gemini 3.6 FlashGoogle DeepMind | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | Gemini 3.6 FlashGoogle DeepMind | cross-developer peerstext |
Gemini 3.6 FlashGoogle DeepMind | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Gemini 3.6 FlashGoogle DeepMind | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Gemini 3.6 FlashGoogle DeepMind | cross-developer peerstext |
Gemini 3.6 FlashGoogle DeepMind | vs | Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Gemini 3.6 Flash vs Mistral Medium 3.5 128B FAQs
Is Gemini 3.6 Flash or Mistral Medium 3.5 128B better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.6 Flash 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, Gemini 3.6 Flash or Mistral Medium 3.5 128B?+
Only Gemini 3.6 Flash has a directly sourced input price: $0.75 per million tokens. Only Gemini 3.6 Flash has a directly sourced output price: $3.75 per million tokens.
Which has a larger context window, Gemini 3.6 Flash or Mistral Medium 3.5 128B?+
Gemini 3.6 Flash has the larger sourced context window. Gemini 3.6 Flash supports 1,049K and Mistral Medium 3.5 128B supports 262K.
Which performs better in benchmarks, Gemini 3.6 Flash 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 Gemini 3.6 Flash or Mistral Medium 3.5 128B be self-hosted?+
Mistral Medium 3.5 128B is the only model in this pair currently marked as self-hostable. Gemini 3.6 Flash is not marked open weight; Mistral Medium 3.5 128B is open weight.
Can Gemini 3.6 Flash and Mistral Medium 3.5 128B understand images?+
Gemini 3.6 Flash is 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, Gemini 3.6 Flash or Mistral Medium 3.5 128B?+
Neither has a larger sourced maximum output. Gemini 3.6 Flash is 66K and Mistral Medium 3.5 128B is —.
Do Gemini 3.6 Flash and Mistral Medium 3.5 128B support reasoning and tool use?+
Gemini 3.6 Flash: reasoning, tool calling, and image input. 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, Gemini 3.6 Flash or Mistral Medium 3.5 128B?+
Gemini 3.6 Flash has 2 sourced provider routes; Mistral Medium 3.5 128B has 0, so Gemini 3.6 Flash has broader tracked availability.
Which offers better value, Gemini 3.6 Flash 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.