Qwen3 Coder Next Base vs Kimi K2.7 Code

At a Glance

Compare
Kimi K2.7 CodeMoonshot AI
Intelligence, Cost, and Efficiency
CostLower is better · Published-token output estimateUnrankedNot in the 44-model eligible cohort#9 of 44$0.043 per LiveBench case
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.68Deepinfra · Sep 22, 2026
Output priceFrom · USD / 1M tokensNot reported$3.30Openrouter · Sep 23, 2026
Context windowMaximum documented tokens262K262K
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

FieldQwen3-Coder-Next-BaseKimi K2.7 Code
DeveloperQwenMoonshot AI
FamilyQwen3 Coder Next BaseKimi K2 7
ModelQwen3-Coder-Next-BaseKimi K2.7 Code
VersionQwen3-Coder-Next-BaseKimi K2.7 Code
Lifecycleactiveactive
ReleasedUnknown2026-06-11
Knowledge cutoffUnknownUnknown
Input modalitiesTextText, Image, Video
Output modalitiesTextText
Context window262K262K
Total parameters79.7B1T
Active parameters3B32B
Licenseapache-2.0modified-mit
Open weightsYesYes
API availableUnknownYes
Self-hostableYesYes
Provider accessUnknownDeepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, generation, toolsagents, chat, coding, reasoning, tools, vision

Qwen3 Coder Next Base Capabilities

chatgenerationtools
Serving providers0
Canonical IDQwen/Qwen3-Coder-Next-Base

Kimi K2.7 Code Capabilities

agentschatcodingreasoningtoolsvision
Serving providers4
Canonical IDmoonshotai/Kimi-K2.7-Code

Primary Evidence

Sources and Freshness

Questions

Qwen3 Coder Next Base vs Kimi K2.7 Code FAQs

Is Qwen3 Coder Next Base or Kimi K2.7 Code better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3 Coder Next Base and Kimi K2.7 Code, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Qwen3 Coder Next Base or Kimi K2.7 Code?+

Only Kimi K2.7 Code has a directly sourced input price: $0.68 per million tokens. Only Kimi K2.7 Code has a directly sourced output price: $3.30 per million tokens.

Which has a larger context window, Qwen3 Coder Next Base or Kimi K2.7 Code?+

Neither model has a larger sourced context window in this comparison. Qwen3 Coder Next Base is 262K and Kimi K2.7 Code is 262K.

Which performs better in benchmarks, Qwen3 Coder Next Base or Kimi K2.7 Code?+

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

Can Qwen3 Coder Next Base or Kimi K2.7 Code be self-hosted?+

Both models have the same recorded self-hosting status: supported. Qwen3 Coder Next Base is open weight; Kimi K2.7 Code is open weight.

Can Qwen3 Coder Next Base and Kimi K2.7 Code understand images?+

Qwen3 Coder Next Base is not documented with image input; Kimi K2.7 Code is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Qwen3 Coder Next Base or Kimi K2.7 Code?+

Neither has a larger sourced maximum output. Qwen3 Coder Next Base is — and Kimi K2.7 Code is —.

Do Qwen3 Coder Next Base and Kimi K2.7 Code support reasoning and tool use?+

Qwen3 Coder Next Base: tool calling. Kimi K2.7 Code: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3 Coder Next Base or Kimi K2.7 Code?+

Qwen3 Coder Next Base has 0 sourced provider routes; Kimi K2.7 Code has 4, so Kimi K2.7 Code has broader tracked availability.

Which offers better value, Qwen3 Coder Next Base or Kimi K2.7 Code?+

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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