Qwen3.5 397B A17B vs Mistral Large 3
Benchmark Performance
Available Benchmarks
| Benchmark | Qwen3.5-397B-A17B | Mistral Large 3 |
|---|---|---|
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader | 1,437.84100% of row best · rating · qwen3.5-397b-a17b; 95% CI [1434.48605524, 1441.19621255]; votes 73400; rank 68 | 1,427.6299% of row best · rating · mistral-large-3; 95% CI [1424.57601414, 1430.66670291]; votes 65336; rank 85 |
| LMArena Vision Arenavision-2026-08-27-011508720696 · arena_rating · leader | 1,264.80100% of row best · rating · qwen3.5-397b-a17b; 95% CI [1258.85111028, 1270.75814841]; votes 25997; rank 38 | 1,226.8497% of row best · rating · mistral-large-3; 95% CI [1216.90651393, 1236.78308197]; votes 4751; rank 66 |
| 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 | Qwen3.5-397B-A17B | Mistral Large 3 |
|---|---|---|
| Developer | Qwen | Mistral AI |
| Family | Qwen3 5 397b A17b | Mistral Large 3 |
| Model | Qwen3.5-397B-A17B | Mistral Large 3 |
| Version | Qwen3.5-397B-A17B | Mistral Large 3 |
| Lifecycle | active | active |
| Released | 2026-02-15 | 2025-12-02 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image, Document |
| Output modalities | Text | Text |
| Context window | 262K | 262K |
| Total parameters | 403.4B | 675B |
| Active parameters | 17B | 41B |
| License | apache-2.0 | Apache-2.0 |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Mistral AI (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, tools | agents, chat, generation, structured_outputs, tools, vision |
17 comparable fields · 11 material differences · Pair passes the primary-source comparison gate
Qwen3.5 397B A17B Capabilities
Mistral Large 3 Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
| vs |  GPT-6 AstraOpenAI | cross-developer peersimage, text | |
| vs | Claude Fable 5.1Anthropic | cross-developer peersimage, text | |
| vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext | |
| vs |  DeepSeek-V4-ProDeepSeek | cross-developer peerstext | |
| vs | Grok 4.6xAI | cross-developer peersimage, text | |
| vs | Qwen3.8-MaxQwen | family variantsimage, text | |
| vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text | |
 MiniMax-M3MiniMax | vs | cross-developer peersimage, text | |
| vs |  GLM-5.3Z.ai | cross-developer peerstext | |
| vs |  Hy4 previewTencent | cross-developer peerstext | |
| vs | Seed 2.1 ProByteDance Seed | cross-developer peersimage, text | |
| vs | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Qwen3.5 397B A17B vs Mistral Large 3 FAQs
Is Qwen3.5 397B A17B or Mistral Large 3 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.5 397B A17B and Mistral Large 3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Qwen3.5 397B A17B or Mistral Large 3?+
Qwen3.5 397B A17B is $0.45 and Mistral Large 3 is $0.50 per million tokens, so Qwen3.5 397B A17B is cheaper on this metric. Qwen3.5 397B A17B is $3.00 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, Qwen3.5 397B A17B or Mistral Large 3?+
Neither model has a larger sourced context window in this comparison. Qwen3.5 397B A17B is 262K and Mistral Large 3 is 262K.
Which performs better in benchmarks, Qwen3.5 397B A17B or Mistral Large 3?+
There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.
Can Qwen3.5 397B A17B or Mistral Large 3 be self-hosted?+
Both models have the same recorded self-hosting status: supported. Qwen3.5 397B A17B is open weight; Mistral Large 3 is open weight.
Can Qwen3.5 397B A17B and Mistral Large 3 understand images?+
Qwen3.5 397B A17B 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, Qwen3.5 397B A17B or Mistral Large 3?+
Neither has a larger sourced maximum output. Qwen3.5 397B A17B is — and Mistral Large 3 is —.
Do Qwen3.5 397B A17B and Mistral Large 3 support reasoning and tool use?+
Qwen3.5 397B A17B: 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, Qwen3.5 397B A17B or Mistral Large 3?+
Qwen3.5 397B A17B has 4 sourced provider routes; Mistral Large 3 has 2, so Qwen3.5 397B A17B has broader tracked availability.
Which offers better value, Qwen3.5 397B A17B 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.