Qwen3.5 397B A17B vs Kimi K2.5
At a Glance
| Compare |  Kimi K2.5Moonshot AI | |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v4.4 | #24 of 5750.5 score · 1/3 sources · single-source provisional · missing LiveBench, ARC-AGI-2 · full-core range 16.8–83.5 | UnrankedNot in the 57-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.45Deepinfra ↗ · Oct 19, 2026 | $0.45Deepinfra ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | $3.00Deepinfra ↗ · Oct 19, 2026 | $2.25Deepinfra ↗ · Aug 29, 2026 |
| Context windowMaximum documented tokens | 262K | 262K |
| Model facts checked | Aug 28, 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 | Qwen3.5-397B-A17B | Kimi-K2.5 |
|---|---|---|
| LMArena Text Arenatext-2026-10-15-a64ca3b12b6e · arena_rating · leader | 1,437.7299% of row best · rating · qwen3.5-397b-a17b; 95% CI [1434.65086689, 1440.78699055]; votes 93567; rank 81 | 1,445.02100% of row best · rating · kimi-k2.5-thinking; 95% CI [1441.75782956, 1448.27322629]; votes 74759; rank 62 |
| LMArena Vision Arenavision-2026-10-09-a64ca3b12b6e · arena_rating · statistical tie | 1,262.52100% of row best · rating · qwen3.5-397b-a17b; 95% CI [1257.19517602, 1267.83577721]; votes 32058; rank 54 | 1,268.77100% of row best · rating · kimi-k2.5-thinking; 95% CI [1263.09963340, 1274.44784290]; votes 28297; rank 44 |
| Overall ResultCounted from the protocol-matched rows above · 1 tie | 0 benchmark winsNo overall winner | 1 benchmark winNo 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 | Qwen3.5-397B-A17B | Kimi-K2.5 |
|---|---|---|
| Developer | Qwen | Moonshot AI |
| Family | Qwen3 5 397b A17b | Kimi K2 5 |
| Model | Qwen3.5-397B-A17B | Kimi-K2.5 |
| Version | Qwen3.5-397B-A17B | Kimi-K2.5 |
| Lifecycle | active | active |
| Released | 2026-02-15 | 2026-01-27 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 262K | 262K |
| Total parameters | 403.4B | 1.03T |
| Active parameters | 17B | 32B |
| 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), Hugging Face (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning, tools |
Qwen3.5 397B A17B Capabilities
Kimi K2.5 Capabilities
Related Comparisons
All image comparisons →| A | Pair | B | Context |
|---|---|---|---|
| vs |  Qwen3.8-MaxQwen | family variantsimage, text | |
| vs | cross-developer peerstext | ||
| vs | family variantstext | ||
| vs | Qwen3.8-27BQwen | family variantsimage, text | |
| vs |  Llama-3.1-405BMeta | cross-developer peerstext | |
| vs | cross-developer peerstext | ||
 MiniMax-M2.7MiniMax | vs | cross-developer peerstext | |
| vs |  Mistral-Medium-3.5-128BMistral AI | cross-developer peersimage, text | |
| vs | Kimi-K2.6Moonshot AI | cross-developer peersimage, text | |
Qwen3.5-35B-A3BQwen | vs | family variantsimage, text | |
| vs |  Hy3Tencent | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Qwen3.5 397B A17B vs Kimi K2.5 FAQs
Is Qwen3.5 397B A17B or Kimi K2.5 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.5 397B A17B and Kimi K2.5, 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 K2.5?+
Qwen3.5 397B A17B is $0.45 and Kimi K2.5 is $0.45 per million tokens, so they are tied on this metric. Qwen3.5 397B A17B is $3.00 and Kimi K2.5 is $2.25 per million tokens, so Kimi K2.5 is cheaper on this metric.
Which has a larger context window, Qwen3.5 397B A17B or Kimi K2.5?+
Both models have the same sourced context window: 262,144 tokens each.
Which performs better in benchmarks, Qwen3.5 397B A17B or Kimi K2.5?+
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 Kimi K2.5 be self-hosted?+
Both models have the same sourced self-hosting status: supported. Qwen3.5 397B A17B is open weight; Kimi K2.5 is open weight.
Can Qwen3.5 397B A17B and Kimi K2.5 understand images?+
Qwen3.5 397B A17B is documented with image input; Kimi K2.5 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Qwen3.5 397B A17B or Kimi K2.5?+
Neither model has a sourced maximum output in this comparison, so a larger limit cannot be determined.
Do Qwen3.5 397B A17B and Kimi K2.5 support reasoning and tool use?+
Qwen3.5 397B A17B: reasoning, tool calling, and image input. Kimi K2.5: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3.5 397B A17B or Kimi K2.5?+
Qwen3.5 397B A17B has 4 sourced provider routes; Kimi K2.5 has 3, so Qwen3.5 397B A17B has broader tracked availability.
Which offers better value, Qwen3.5 397B A17B or Kimi K2.5?+
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.