Qwen3.5 397B A17B vs Kimi K2 Instruct
At a Glance
| Compare | Kimi K2 InstructMoonshot AI | |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.45Deepinfra ↗ · Sep 22, 2026 | $0.57Openrouter ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | $3.00Deepinfra ↗ · Sep 22, 2026 | $2.30Openrouter ↗ · Aug 29, 2026 |
| Context windowMaximum documented tokens | 262K | 131K |
| 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
Side-by-Side Facts
| Field | Qwen3.5-397B-A17B | Kimi-K2-Instruct |
|---|---|---|
| Developer | Qwen | Moonshot AI |
| Family | Qwen3 5 397b A17b | Kimi K2 Instruct |
| Model | Qwen3.5-397B-A17B | Kimi-K2-Instruct |
| Version | Qwen3.5-397B-A17B | Kimi-K2-Instruct |
| Lifecycle | active | active |
| Released | 2026-02-15 | 2025-07-11 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 262K | 131K |
| Total parameters | 403.4B | 1T |
| 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) | Hugging Face (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, tools |
Qwen3.5 397B A17B Capabilities
Kimi K2 Instruct Capabilities
Primary Evidence
Sources and Freshness
Questions
Qwen3.5 397B A17B vs Kimi K2 Instruct FAQs
Is Qwen3.5 397B A17B or Kimi K2 Instruct better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.5 397B A17B and Kimi K2 Instruct, 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 Instruct?+
Qwen3.5 397B A17B is $0.45 and Kimi K2 Instruct is $0.57 per million tokens, so Qwen3.5 397B A17B is cheaper on this metric. Qwen3.5 397B A17B is $3.00 and Kimi K2 Instruct is $2.30 per million tokens, so Kimi K2 Instruct is cheaper on this metric.
Which has a larger context window, Qwen3.5 397B A17B or Kimi K2 Instruct?+
Qwen3.5 397B A17B has the larger sourced context window. Qwen3.5 397B A17B supports 262K and Kimi K2 Instruct supports 131K.
Which performs better in benchmarks, Qwen3.5 397B A17B or Kimi K2 Instruct?+
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 K2 Instruct be self-hosted?+
Both models have the same recorded self-hosting status: supported. Qwen3.5 397B A17B is open weight; Kimi K2 Instruct is open weight.
Can Qwen3.5 397B A17B and Kimi K2 Instruct understand images?+
Qwen3.5 397B A17B is documented with image input; Kimi K2 Instruct is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Qwen3.5 397B A17B or Kimi K2 Instruct?+
Neither has a larger sourced maximum output. Qwen3.5 397B A17B is — and Kimi K2 Instruct is —.
Do Qwen3.5 397B A17B and Kimi K2 Instruct support reasoning and tool use?+
Qwen3.5 397B A17B: reasoning, tool calling, and image input. Kimi K2 Instruct: tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Qwen3.5 397B A17B or Kimi K2 Instruct?+
Qwen3.5 397B A17B has 4 sourced provider routes; Kimi K2 Instruct has 2, so Qwen3.5 397B A17B has broader tracked availability.
Which offers better value, Qwen3.5 397B A17B or Kimi K2 Instruct?+
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.