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Head-to-head comparison

Kimi K2.7 Code vs Qwen3 235B A22B Instruct 2507

Kimi K2.7 Code (Moonshot AI) and Qwen3 235B A22B Instruct 2507 (Qwen) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.

Snapshot as of 10 September 2026

As of 10 September 2026, Kimi K2.7 Code holds the stronger ModelCap Index position (#52 vs #55); Qwen3 235B A22B Instruct 2507 is 4× cheaper per output token ($0.88/1M vs $3.50/1M); and Qwen3 235B A22B Instruct 2507 ships open weights.

Which should you choose?

Choose Kimi K2.7 Code if…

  • you want the stronger overall ModelCap Index position — #52 against #55 (59.7 vs 58.3 points).
  • you want provider choice — 14 listed API providers against 10.
  • AA τ²-Bench Telecom is your yardstick — 90.1% against 33.3%.
  • AA Humanity's Last Exam is your yardstick — 35.0% against 11.1%.
  • you want the more recently listed model — Kimi K2.7 Code was listed 12 June 2026, Qwen3 235B A22B Instruct 2507 21 July 2025.

Choose Qwen3 235B A22B Instruct 2507 if…

  • API cost matters — $0.88/1M output tokens against $3.50/1M, about 4× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.22/1M against $0.71/1M.
  • you want to self-host: Qwen3 235B A22B Instruct 2507 ships open weights while Kimi K2.7 Code is restricted license.

Kimi K2.7 Code vs Qwen3 235B A22B Instruct 2507: specs, pricing and context

Specification comparison of Kimi K2.7 Code and Qwen3 235B A22B Instruct 2507
FieldKimi K2.7 CodeMoonshot AIQwen3 235B A22B Instruct 2507Qwen
ModelCap Index position#52#55
Index score59.758.3
EvidenceMeasuredMeasured
Input price / 1M tokens$0.71$0.22
Output price / 1M tokens$3.50$0.88
Context window262K tokens262K tokens
Max output tokens236K16K
API providers listed1410
Weight accessRestricted licenseOpen weights
Input modalitiesText, ImageText
First listed12 June 202621 July 2025
PublisherMoonshot AIQwen

Evidence: 2 public benchmark observations across 2 boards · 2 public benchmark observations across 2 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Kimi K2.7 Code vs Qwen3 235B A22B Instruct 2507

Public benchmark boards where Kimi K2.7 Code or Qwen3 235B A22B Instruct 2507 has a published result
BoardKimi K2.7 CodeQwen3 235B A22B Instruct 2507Leads
Arena codingArena (LMArena)—14721468–1477Only one result
BFCL V4UC Berkeley (Gorilla)—52.2PromptOnly one result
AA Intelligence IndexArtificial Analysis26.3intelligence-index:v4.3:reasoning-unspecified—Only one result
AA Terminal-Bench 2.1Artificial Analysis67.4%terminal-bench:2.1:terminus-2:e2b:pass-at-1:3-repeats:source-model="Kimi K2.7 Code":reasoning=true—Only one result
AA τ²-Bench TelecomArtificial Analysis90.1%tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="Kimi K2.7 Code":reasoning=true33.3%tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="Qwen3 235B 2507 (Non-reasoning)":reasoning=falseKimi K2.7 Code
AA Humanity's Last ExamArtificial Analysis35.0%hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="Kimi K2.7 Code":reasoning=true11.1%hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="Qwen3 235B 2507 (Non-reasoning)":reasoning=falseKimi K2.7 Code
WildClawBench OpenClawWildClawBench46.9—Only one result

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

Kimi K2.7 Code vs Qwen3 235B A22B Instruct 2507: common questions

Is Kimi K2.7 Code better than Qwen3 235B A22B Instruct 2507?

Kimi K2.7 Code ranks higher on the ModelCap Index as of 10 September 2026: #52 against #55. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.

Is Kimi K2.7 Code cheaper than Qwen3 235B A22B Instruct 2507?

Qwen3 235B A22B Instruct 2507 is cheaper on output tokens: $0.88/1M against $3.50/1M. Input tokens are $0.71/1M for Kimi K2.7 Code and $0.22/1M for Qwen3 235B A22B Instruct 2507. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $3.17 for Kimi K2.7 Code versus $0.88 for Qwen3 235B A22B Instruct 2507. Qwen3 235B A22B Instruct 2507 costs 72.2% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.

Which has the bigger context window, Kimi K2.7 Code or Qwen3 235B A22B Instruct 2507?

Both publish a 262K-token context window.

Which is better for coding, Kimi K2.7 Code or Qwen3 235B A22B Instruct 2507?

The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.

Are Kimi K2.7 Code and Qwen3 235B A22B Instruct 2507 open-weight models?

Kimi K2.7 Code: Restricted license. Qwen3 235B A22B Instruct 2507: Open weights. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.

Where can I run Kimi K2.7 Code and Qwen3 235B A22B Instruct 2507?

ModelCap currently lists 14 API providers for Kimi K2.7 Code and 10 for Qwen3 235B A22B Instruct 2507, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Kimi K2.7 Code vs Qwen3 235B A22B Instruct 2507 comparison?

Every figure comes from the sealed ModelCap dataset published 10 September 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.

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