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Qwen3 Coder Next (Alibaba) vs Kimi K2.7 Code (Moonshot AI)

Qwen3 Coder Next (Alibaba) is 64% cheaper than Kimi K2.7 Code (Moonshot AI) ($1.80 vs $4.95 blended per 1M tokens).

head-to-head · coding modelsbenchmarks 2026-09-19 · prices 2026-10-23
Qwen3 Coder NextAlibaba$0.3 in · $1.5 out /1M
1–0rows won
Kimi K2.7 CodeMoonshot AI$0.95 in · $4 out /1M
$1.8Blended $/1M64% cheaper$4.95
256KContext servedtied256K
bar = relative strength on the row · green wins it (higher score, lower price, faster)apipriceindex.com

Qwen3 Coder Next (Alibaba) on Alibaba vs Kimi K2.7 Code (Moonshot AI) on Moonshot AI — coding models. Every figure in the table below is the value shown on each model's own endpoint page, with its source and verification date. What the makers declare about the models themselves is further down.

MetricQwen3 Coder Next (Alibaba)Kimi K2.7 Code (Moonshot AI)
Input $/1M$0.3$0.95
Cached input $/1M—$0.19
Output $/1M$1.5$4
Blended $/1M$1.8$4.95
Context window served256K256K
Max output served64K—

Highlighted cell = better on that row (lower price/latency, higher context/intelligence/throughput). "—" = not measured, or (cached input) no cache pricing published by that provider.

What it costs at your volume

Monthly workloadQwen3 Coder Next (Alibaba)Kimi K2.7 Code (Moonshot AI)
Side project · 5M in / 1M out$3$8.75
Production app · 50M in / 10M out$30$87.5
Heavy pipeline · 500M in / 100M out$300$875

Straight token math from the verified prices above — no caching, no batch discounts. Model your own traffic in the LLM cost calculator.

Kimi K2.7 Code (Moonshot AI)'s blended price has dropped 50% since 2026-09-03 ($9.9 → $4.95/1M). Full price history on each endpoint page.

Which to pick

Qwen3 Coder Next (Alibaba) if…

  • cost per token is the constraint — $1.8 vs $4.95 blended per 1M

Kimi K2.7 Code (Moonshot AI) if…

…no measured axis on this page favors it — which is itself a data point. Rate limits, ecosystem and provider terms may still decide for it.

Every line above is derived from a measured row on this page — nothing editorial. What the table can't weigh: rate limits, SDK ecosystem, data-retention terms — those are on each endpoint page.

Same weights, other hosts

The table at the top compares one endpoint per side. But the same model is often sold by several hosts — open weights re-hosted, or a closed model resold through clouds — at different prices, sometimes a bigger spread than the head-to-head itself.

qwen3-coder-next is sold by 4 hosts we track. Cheapest: Parasail at $0.92/1M blended. All 4 priced side by side on the qwen3-coder-next page.

kimi-k2.7-code is sold by 15 hosts we track. Cheapest: StreamLake at $3.712/1M blended. All 15 priced side by side on the kimi-k2.7-code page.

What the makers declare

The table above compares two endpoints — what each host charges, how much of the window it serves, how fast it answers. This is the other register: what the maker declares about the weights, the same whichever host you buy from. Where a row here carries a different number from the same row above, both are true — one describes the model, the other describes the endpoint that serves it.

qwen3-coder-nextmaker-declared

Context window
262,144 tokens
Parameters
79,674,391,296≈ 79.7B
Active experts
10 of 512 active per token
Weight precision
bfloat16
License
Apache 2.0 — open weights, permissivecurated · read 2026-09-07Scope: the licence on the published weights, and nothing else. It is not the maker's acceptable-use policy, which is a separate document, and it is not the contract you sign with whichever host you call — hosts set their own terms, which this index does not read.
Knowledge cutoff
not published by the maker≈ September 2025 third-party estimate — not the maker's figurecurated
Modalities
text
Max output (official)
to verify
Release date
to verify≈ February 3, 2026 third-party catalogue — not the maker's figure
Maker lifecycle status
to verify

Also declared in the weights

Architecture class
Qwen3NextForCausalLM
Layers
48
Vocabulary
151,936 tokens
Weights first published
January 30, 2026
Weights last updated
February 3, 2026

Qwen/Qwen3-Coder-Next · config.json @ a7fbcb5 · read 2026-10-08 · 6 of 10 fields published by the maker

kimi-k2.7-codemaker-declared

Context window
262,144 tokens
Parameters
1,026,879,376,368≈ 1.03T
Active experts
8 of 384 active per token
Weight precision
not published by the maker
License
Modified MIT — open weights, conditionalcuratedScope: the licence on the published weights, and nothing else. It is not the maker's acceptable-use policy, which is a separate document, and it is not the contract you sign with whichever host you call — hosts set their own terms, which this index does not read.
Knowledge cutoff
not published by the maker≈ April 2026 third-party estimate — not the maker's figurecurated
Modalities
text · image · video
Max output (official)
to verify
Release date
to verify≈ June 12, 2026 third-party catalogue — not the maker's figure
Maker lifecycle status
to verify

Also declared in the weights

Architecture class
KimiK25ForConditionalGeneration
Layers
61
Vocabulary
163,840 tokens
Weights first published
June 11, 2026
Weights last updated
June 15, 2026

moonshotai/Kimi-K2.7-Code · config.json @ 74797c9 · read 2026-10-08 · 5 of 10 fields published by the maker

Sources: Qwen3 Coder Next (Alibaba) endpoint · Kimi K2.7 Code (Moonshot AI) endpoint · Qwen3 Coder Next (Alibaba) price verified 2026-10-09 · Kimi K2.7 Code (Moonshot AI) price verified 2026-10-23