Qwen3.8 27B vs Mistral Large 3
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | Qwen3.8-27B | Mistral Large 3 |
|---|---|---|
| CostLower is better · Published-token output estimate | #16 of 36$0.086 per LiveBench case | UnrankedNot in the 36-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 | Qwen3.8-27B | Mistral Large 3 |
|---|---|---|
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · statistical tie | 1,437.35100% of row best · rating · qwen3.8-27b; 95% CI [1429.71618499, 1444.98971204]; votes 6626; rank 69 | 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 | 1,279.32100% of row best · rating · qwen3.8-27b; 95% CI [1267.46655532, 1291.16933290]; votes 2954; rank 28 | 1,226.8496% 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 · 1 tie | 1 benchmark winOverall 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 | Qwen3.8-27B | Mistral Large 3 |
|---|---|---|
| Developer | Qwen | Mistral AI |
| Family | Qwen3 8 27b | Mistral Large 3 |
| Model | Qwen3.8-27B | Mistral Large 3 |
| Version | Qwen3.8-27B | Mistral Large 3 |
| Lifecycle | active | active |
| Released | Unknown | 2025-12-02 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image, Document |
| Output modalities | Text | Text |
| Context window | 262K | 262K |
| Total parameters | 27.8B | 675B |
| Active parameters | Unknown | 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) | Mistral AI (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, tools | agents, chat, generation, structured_outputs, tools, vision |
15 comparable fields · 9 material differences · Pair passes the primary-source comparison gate
Qwen3.8 27B Capabilities
Mistral Large 3 Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
Qwen3.8-27BQwen | vs |  GPT-6 AstraOpenAI | cross-developer peersimage, text |
Qwen3.8-27BQwen | vs | Claude Fable 5.1Anthropic | cross-developer peersimage, text |
Qwen3.8-27BQwen | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
Qwen3.8-27BQwen | vs |  DeepSeek-V4-ProDeepSeek | cross-developer peerstext |
Qwen3.8-27BQwen | vs | Grok 4.6xAI | cross-developer peersimage, text |
Qwen3.8-27BQwen | vs | Qwen3.8-MaxQwen | family variantsimage, text |
Qwen3.8-27BQwen | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | Qwen3.8-27BQwen | cross-developer peersimage, text |
Qwen3.8-27BQwen | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Qwen3.8-27BQwen | vs |  Hy4 previewTencent | cross-developer peerstext |
Qwen3.8-27BQwen | vs | Seed 2.1 ProByteDance Seed | cross-developer peersimage, text |
Qwen3.8-27BQwen | vs | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Qwen3.8 27B vs Mistral Large 3 FAQs
Is Qwen3.8 27B or Mistral Large 3 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.8 27B and Mistral Large 3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Qwen3.8 27B or Mistral Large 3?+
Qwen3.8 27B is $0.40 and Mistral Large 3 is $0.50 per million tokens, so Qwen3.8 27B is cheaper on this metric. Qwen3.8 27B 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, Qwen3.8 27B or Mistral Large 3?+
Neither model has a larger sourced context window in this comparison. Qwen3.8 27B is 262K and Mistral Large 3 is 262K.
Which performs better in benchmarks, Qwen3.8 27B 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 Qwen3.8 27B or Mistral Large 3 be self-hosted?+
Both models have the same recorded self-hosting status: supported. Qwen3.8 27B is open weight; Mistral Large 3 is open weight.
Can Qwen3.8 27B and Mistral Large 3 understand images?+
Qwen3.8 27B 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, Qwen3.8 27B or Mistral Large 3?+
Neither has a larger sourced maximum output. Qwen3.8 27B is 131K and Mistral Large 3 is —.
Do Qwen3.8 27B and Mistral Large 3 support reasoning and tool use?+
Qwen3.8 27B: 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, Qwen3.8 27B or Mistral Large 3?+
Qwen3.8 27B has 3 sourced provider routes; Mistral Large 3 has 2, so Qwen3.8 27B has broader tracked availability.
Which offers better value, Qwen3.8 27B 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.