Qwen3.5 397B A17B vs Kimi K3
Model Markets Rankings
Intelligence, Cost, and Efficiency
| Ranking | Qwen3.5-397B-A17B | Kimi-K3 |
|---|---|---|
| IntelligenceHigher is better · MM Intelligence v1.2 | UnrankedNot in the 22-model eligible cohort | #11 of 2271.3 score |
| CostLower is better · Published-token output estimate | UnrankedNot in the 36-model eligible cohort | #24 of 36$0.194 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.0 | UnrankedNot in the 22-model eligible cohort | #13 of 2251.7 score |
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 | Qwen3.5-397B-A17B | Kimi-K3 |
|---|---|---|
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader | 1,437.8497% of row best · rating · qwen3.5-397b-a17b; 95% CI [1434.48605524, 1441.19621255]; votes 73400; rank 68 | 1,476.31100% of row best · rating · kimi-k3-max; 95% CI [1470.86166728, 1481.76254962]; votes 17895; rank 16 |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark wins | 1 benchmark winOverall lead |
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 | Kimi-K3 |
|---|---|---|
| Developer | Qwen | Moonshot AI |
| Family | Qwen3 5 397b A17b | Kimi K3 |
| Model | Qwen3.5-397B-A17B | Kimi-K3 |
| Version | Qwen3.5-397B-A17B | Kimi-K3 |
| Lifecycle | active | active |
| Released | 2026-02-15 | 2026-07-16 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 262K | 1,049K |
| Total parameters | 403.4B | 2.8T |
| Active parameters | 17B | 104B |
| License | apache-2.0 | other |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning |
17 comparable fields · 11 material differences · Pair passes the primary-source comparison gate
Qwen3.5 397B A17B Capabilities
Kimi K3 Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
| vs | Kimi-K2.6Moonshot AI | cross-developer peersimage, text | |
| 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 | |
 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 |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Qwen3.5 397B A17B vs Kimi K3 FAQs
Is Qwen3.5 397B A17B or Kimi K3 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.5 397B A17B and Kimi K3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Qwen3.5 397B A17B or Kimi K3?+
Qwen3.5 397B A17B is $0.45 and Kimi K3 is $2.85 per million tokens, so Qwen3.5 397B A17B is cheaper on this metric. Qwen3.5 397B A17B is $3.00 and Kimi K3 is $14.25 per million tokens, so Qwen3.5 397B A17B is cheaper on this metric.
Which has a larger context window, Qwen3.5 397B A17B or Kimi K3?+
Kimi K3 has the larger sourced context window. Qwen3.5 397B A17B supports 262K and Kimi K3 supports 1,049K.
Which performs better in benchmarks, Qwen3.5 397B A17B or Kimi K3?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Qwen3.5 397B A17B or Kimi K3 be self-hosted?+
Both models have the same recorded self-hosting status: supported. Qwen3.5 397B A17B is open weight; Kimi K3 is open weight.
Can Qwen3.5 397B A17B and Kimi K3 understand images?+
Qwen3.5 397B A17B is documented with image input; Kimi K3 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Qwen3.5 397B A17B or Kimi K3?+
Neither has a larger sourced maximum output. Qwen3.5 397B A17B is — and Kimi K3 is —.
Do Qwen3.5 397B A17B and Kimi K3 support reasoning and tool use?+
Qwen3.5 397B A17B: reasoning, tool calling, and image input. Kimi K3: reasoning and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3.5 397B A17B or Kimi K3?+
Qwen3.5 397B A17B has 4 sourced provider routes; Kimi K3 has 5, so Kimi K3 has broader tracked availability.
Which offers better value, Qwen3.5 397B A17B or Kimi K3?+
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.