Kimi K2 Thinking vs Qwen3 Coder Plus

At a Glance

Compare
Kimi K2 ThinkingMoonshot AI
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.60Openrouter · Sep 23, 2026$0.65Openrouter · Sep 23, 2026
Output priceFrom · USD / 1M tokens$2.50Openrouter · Sep 23, 2026$3.25Openrouter · Sep 23, 2026
Context windowMaximum documented tokens262K1,000K
Model facts checkedAug 28, 2026View model evidence →Sep 3, 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

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldKimi-K2-ThinkingQwen3 Coder Plus
DeveloperMoonshot AIQwen
FamilyKimi K2 ThinkingQwen3 Coder
ModelKimi-K2-ThinkingQwen3 Coder Plus
VersionKimi-K2-ThinkingQwen3 Coder Plus
Lifecycleactiveactive
Released2025-11-062025-09-23
Knowledge cutoffUnknownUnknown
Input modalitiesTextText
Output modalitiesTextText
Context window262K1,000K
Total parameters1TUnknown
Active parameters32BUnknown
LicenseotherUnknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessHugging Face (Standard), Openrouter (Standard)Alibaba Cloud Model Studio (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoning, toolsagents, chat, generation, reasoning, structured_outputs, tools

Kimi K2 Thinking Capabilities

chatgenerationreasoningtools
Serving providers2
Canonical IDmoonshotai/Kimi-K2-Thinking

Qwen3 Coder Plus Capabilities

agentschatgenerationreasoningstructured outputstools
Serving providers2
Canonical IDqwen/qwen3-coder-plus

Primary Evidence

Sources and Freshness

Questions

Kimi K2 Thinking vs Qwen3 Coder Plus FAQs

Is Kimi K2 Thinking or Qwen3 Coder Plus better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Kimi K2 Thinking and Qwen3 Coder Plus, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Kimi K2 Thinking or Qwen3 Coder Plus?+

Kimi K2 Thinking is $0.60 and Qwen3 Coder Plus is $0.65 per million tokens, so Kimi K2 Thinking is cheaper on this metric. Kimi K2 Thinking is $2.50 and Qwen3 Coder Plus is $3.25 per million tokens, so Kimi K2 Thinking is cheaper on this metric.

Which has a larger context window, Kimi K2 Thinking or Qwen3 Coder Plus?+

Qwen3 Coder Plus has the larger sourced context window. Kimi K2 Thinking supports 262K and Qwen3 Coder Plus supports 1,000K.

Which performs better in benchmarks, Kimi K2 Thinking or Qwen3 Coder Plus?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can Kimi K2 Thinking or Qwen3 Coder Plus be self-hosted?+

Kimi K2 Thinking is the only model in this pair currently marked as self-hostable. Kimi K2 Thinking is open weight; Qwen3 Coder Plus is not marked open weight.

Can Kimi K2 Thinking and Qwen3 Coder Plus understand images?+

Kimi K2 Thinking is not documented with image input; Qwen3 Coder Plus is not documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Kimi K2 Thinking or Qwen3 Coder Plus?+

Neither has a larger sourced maximum output. Kimi K2 Thinking is 131K and Qwen3 Coder Plus is —.

Do Kimi K2 Thinking and Qwen3 Coder Plus support reasoning and tool use?+

Kimi K2 Thinking: reasoning and tool calling. Qwen3 Coder Plus: reasoning and tool calling. Feature support does not establish relative quality.

Which is available from more inference providers, Kimi K2 Thinking or Qwen3 Coder Plus?+

Kimi K2 Thinking has 2 sourced provider routes; Qwen3 Coder Plus has 2, a tie.

Which offers better value, Kimi K2 Thinking or Qwen3 Coder Plus?+

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.

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