Gemini 3.7 Flash vs Mistral Large 3
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | Gemini 3.7 Flash | Mistral Large 3 |
|---|---|---|
| IntelligenceHigher is better · MM Intelligence v1.2 | #3 of 2287.8 score | UnrankedNot in the 22-model eligible cohort |
| CostLower is better · Published-token output estimate | #15 of 36$0.085 per LiveBench case | UnrankedNot in the 36-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.0 | #2 of 2268.1 score | UnrankedNot in the 22-model eligible cohort |
Ranks come from the current complete eligible cohorts. Green highlights appear only when both models are ranked in the same metric. Missing required inputs remain unranked, and the three dimensions are not collapsed into an overall winner.
Benchmark Performance
Available Benchmarks
| Benchmark | Gemini 3.7 Flash | Mistral Large 3 |
|---|---|---|
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader | 1,491.10100% of row best · rating · gemini-3.7-flash-high; 95% CI [1482.94370265, 1499.25525622]; votes 5685; rank 6 | 1,427.6296% of row best · rating · mistral-large-3; 95% CI [1424.57601414, 1430.66670291]; votes 65336; rank 85 |
| ToneBench2026-08-28-10-task-cd9819ab6e4d · overall_score · leader | 77.95100% of row best · points · Gemini 3.7 Flash (high thinking) · 9,139 output tokens / case | 70.3990% of row best · points · Mistral Large 3 · 2,056 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 2 benchmark winsOverall 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 | Gemini 3.7 Flash | Mistral Large 3 |
|---|---|---|
| Developer | Google DeepMind | Mistral AI |
| Family | Gemini 3 | Mistral Large 3 |
| Model | Gemini 3.7 Flash | Mistral Large 3 |
| Version | Gemini 3.7 Flash | Mistral Large 3 |
| Lifecycle | active | active |
| Released | Unknown | 2025-12-02 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio, Document | Text, Image, Document |
| Output modalities | Text | Text |
| Context window | 1,049K | 262K |
| Total parameters | Unknown | 675B |
| Active parameters | Unknown | 41B |
| License | Unknown | Apache-2.0 |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Google AI (Standard), Google Gemini (Standard) | Mistral AI (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, tools | agents, chat, generation, structured_outputs, tools, vision |
13 comparable fields · 10 material differences · Pair passes the primary-source comparison gate
Gemini 3.7 Flash Capabilities
Mistral Large 3 Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
Gemini 3.7 FlashGoogle DeepMind | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | Gemini 3.7 FlashGoogle DeepMind | cross-developer peerstext |
Gemini 3.1 ProGoogle DeepMind | vs | Gemini 3.7 FlashGoogle DeepMind | family variantstext |
 DeepSeek-V4-ProDeepSeek | vs | Gemini 3.7 FlashGoogle DeepMind | cross-developer peerstext |
Gemini 3.7 FlashGoogle DeepMind | vs | Grok 4.6xAI | cross-developer peerstext |
Gemini 3.7 FlashGoogle DeepMind | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
Gemini 3.7 FlashGoogle DeepMind | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | Gemini 3.7 FlashGoogle DeepMind | cross-developer peerstext |
Gemini 3.7 FlashGoogle DeepMind | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Gemini 3.7 FlashGoogle DeepMind | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Gemini 3.7 FlashGoogle DeepMind | cross-developer peerstext |
Gemini 3.7 FlashGoogle DeepMind | vs | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Gemini 3.7 Flash vs Mistral Large 3 FAQs
Is Gemini 3.7 Flash or Mistral Large 3 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.7 Flash and Mistral Large 3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini 3.7 Flash or Mistral Large 3?+
Gemini 3.7 Flash is $0.75 and Mistral Large 3 is $0.50 per million tokens, so Mistral Large 3 is cheaper on this metric. Gemini 3.7 Flash is $3.75 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, Gemini 3.7 Flash or Mistral Large 3?+
Gemini 3.7 Flash has the larger sourced context window. Gemini 3.7 Flash supports 1,049K and Mistral Large 3 supports 262K.
Which performs better in benchmarks, Gemini 3.7 Flash or Mistral Large 3?+
Gemini 3.7 Flash leads the current overall benchmark count. The result uses 2 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.
Can Gemini 3.7 Flash or Mistral Large 3 be self-hosted?+
Mistral Large 3 is the only model in this pair currently marked as self-hostable. Gemini 3.7 Flash is not marked open weight; Mistral Large 3 is open weight.
Can Gemini 3.7 Flash and Mistral Large 3 understand images?+
Gemini 3.7 Flash is 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, Gemini 3.7 Flash or Mistral Large 3?+
Neither has a larger sourced maximum output. Gemini 3.7 Flash is 66K and Mistral Large 3 is —.
Do Gemini 3.7 Flash and Mistral Large 3 support reasoning and tool use?+
Gemini 3.7 Flash: reasoning, tool calling, and image input. Mistral Large 3: tool calling and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini 3.7 Flash or Mistral Large 3?+
Gemini 3.7 Flash has 2 sourced provider routes; Mistral Large 3 has 2, a tie.
Which offers better value, Gemini 3.7 Flash 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.