Qwen3.5 35B A3B 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$0.042 per LiveBench case
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$0.68Deepinfra · Sep 22, 2026
Output priceFrom · USD / 1M tokensNot reported$3.21Openrouter · Sep 22, 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

FieldQwen3.5-35B-A3B-BaseKimi K2.7 Code
DeveloperQwenMoonshot AI
FamilyQwen3 5 35b A3b BaseKimi K2 7
ModelQwen3.5-35B-A3B-BaseKimi K2.7 Code
VersionQwen3.5-35B-A3B-BaseKimi K2.7 Code
Lifecycleactiveactive
ReleasedUnknown2026-06-11
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText, Image, Video
Output modalitiesTextText
Context window262K262K
Total parameters36B1T
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

Qwen3.5 35B A3B Base Capabilities

chatgenerationtools
Serving providers0
Canonical IDQwen/Qwen3.5-35B-A3B-Base

Kimi K2.7 Code Capabilities

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

Primary Evidence

Sources and Freshness

Questions

Qwen3.5 35B A3B Base vs Kimi K2.7 Code FAQs

Is Qwen3.5 35B A3B Base or Kimi K2.7 Code better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Qwen3.5 35B A3B 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, Qwen3.5 35B A3B 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: $3.21 per million tokens.

Which has a larger context window, Qwen3.5 35B A3B Base or Kimi K2.7 Code?+

Neither model has a larger sourced context window in this comparison. Qwen3.5 35B A3B Base is 262K and Kimi K2.7 Code is 262K.

Which performs better in benchmarks, Qwen3.5 35B A3B 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 Qwen3.5 35B A3B Base or Kimi K2.7 Code be self-hosted?+

Both models have the same recorded self-hosting status: supported. Qwen3.5 35B A3B Base is open weight; Kimi K2.7 Code is open weight.

Can Qwen3.5 35B A3B Base and Kimi K2.7 Code understand images?+

Qwen3.5 35B A3B Base is 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, Qwen3.5 35B A3B Base or Kimi K2.7 Code?+

Neither has a larger sourced maximum output. Qwen3.5 35B A3B Base is — and Kimi K2.7 Code is —.

Do Qwen3.5 35B A3B Base and Kimi K2.7 Code support reasoning and tool use?+

Qwen3.5 35B A3B Base: tool calling and image input. Kimi K2.7 Code: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Qwen3.5 35B A3B Base or Kimi K2.7 Code?+

Qwen3.5 35B A3B 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, Qwen3.5 35B A3B 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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