--- title: "MoonshotAI: Kimi K2.7 Code — unrated, priced in this catalogue · Undominated.ai" canonical: https://undominated.ai/models/moonshotai__kimi-k2.7-code/ description: "MoonshotAI: Kimi K2.7 Code: $0.671/M in, $3.35/M out. No independent quality score in this catalogue — unrated, not ranked, not scored zero." --- # MoonshotAI: Kimi K2.7 Code — unrated, priced in this catalogue · Undominated.ai > MoonshotAI: Kimi K2.7 Code: $0.671/M in, $3.35/M out. No independent quality score in this catalogue — unrated, not ranked, not scored zero. [Check base rates for this workload](/check/moonshotai__kimi-k2.7-code/) [Cheaper alternatives](/alternatives/) [Family](/families/kimi/) [Compare models](https://undominated.ai/compare/?models=moonshotai%2Fkimi-k2.7-code) Comparison context Choose up to three standard models in Compare. Requirements and prompt length apply in Compare. This page keeps its stated price basis and workload controls. MODEL PROOF # Kimi K2.7 Code Moonshot AI · 12 Jun 2026 · modified-mit Balanced Summarise Chat Code gen Agentic NOT INDEPENDENTLY RATED ## No independent LMArena score is published for this model. **$1.34** / 1M tokens Balanced · 3 tokens in per 1 out Serving precision differs between offers. Evidence as of 06 Oct 2026 [openrouter/models](https://openrouter.ai/api/v1/models) [Vendor cross-check](https://openrouter.ai/api/v1/models) Independent LMArena score Not independently rated Context window 262.14K Maximum output 235.93K Input modalities text, image Output modalities text Published input price $0.671 / 1M tokens Published output price $3.35 / 1M tokens Pricing kind fixed Inspect [complete billing conditions](#billing-details) and endpoint terms below. Price from Inceptron: the cheapest offer that is serving, at standard delivery and at the maker’s precision or better, at its standard rate. Cheaper right now: $1.28/M at StreamLake — promotion 25% · precision not disclosed It does not pass the like-for-like test, so it never sets a rank. Every price dimension · USD per million tokens | Input | $0.671 /M | | --- | --- | | Output | $3.35 /M | | Cached input | $0.180 /M | | Cache write | Unknown /M | | Cache write 1h | Unknown /M | | Reasoning | Unknown /M | ### Who sells it The same weights, different shops. Cheapest is not like-for-like when serving precision differs. Headline cheapest is a lower precision. Like-for-like at the best declared precision is $0.859/M from SiliconFlow. 12 provider offers · rates, limits and conditions Rates are USD per million tokens. Endpoint terms can differ even when the quoted price and precision match. A listed parameter is a provider declaration, not a task-success test. | Seller | Input | Output | Precision | Uptime (1d) | | --- | --- | --- | --- | --- | | Seller Inceptron inceptron/int4 Endpoint terms Cached input /M $0.180 Context limit 262,144 tokens Output limit 235,929 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 99.83% | Input $0.671 | Output $3.35 | Precision int4 | Uptime (1d) 99.90% | | Seller CoreWeave coreweave/int4 Endpoint terms Cached input /M $0.150 Context limit 262,144 tokens Output limit 235,929 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 100.00% | Input $0.710 | Output $3.50 | Precision int4 | Uptime (1d) 99.99% | | Seller StreamLake streamlake Endpoint terms Cached input /M $0.143 Context limit 256,000 tokens Output limit 32,000 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount 25% · already included in these rates Uptime · last 30 minutes 99.51% | Input $0.713 | Output $3.00 | Precision undeclared | Uptime (1d) 99.89% | | Seller Venice venice/int4 Endpoint terms Cached input /M $0.160 Context limit 256,000 tokens Output limit 65,536 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 100.00% | Input $0.750 | Output $3.50 | Precision int4 | Uptime (1d) 99.37% | | Seller SiliconFlow siliconflow/fp8 Endpoint terms Cached input /M $0.180 Context limit 262,144 tokens Output limit 235,929 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 100.00% | Input $0.859 | Output $3.80 | Precision fp8 | Uptime (1d) 99.96% | | Seller Novita novita/int4 Endpoint terms Cached input /M $0.182 Context limit 262,144 tokens Output limit 235,929 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount 4% · already included in these rates Uptime · last 30 minutes 100.00% | Input $0.912 | Output $3.84 | Precision int4 | Uptime (1d) 99.87% | | Seller GMICloud gmicloud/fp8 Endpoint terms Cached input /M $0.190 Context limit 262,144 tokens Output limit 235,929 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 97.65% | Input $0.950 | Output $4.00 | Precision fp8 | Uptime (1d) 99.21% | | Seller Alibaba alibaba/fp8 Endpoint terms Cached input /M $0.190 Context limit 262,144 tokens Output limit 16,384 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes Unknown | Input $0.950 | Output $4.00 | Precision fp8 | Uptime (1d) 96.37% | | Seller Nebius nebius/fp4 Endpoint terms Cached input /M Unknown Context limit 262,144 tokens Output limit 235,929 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes Unknown | Input $0.950 | Output $4.00 | Precision fp4 | Uptime (1d) 99.03% | | Seller Moonshot AI moonshotai/int4 Endpoint terms Cached input /M $0.190 Context limit 262,144 tokens Output limit 235,929 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 100.00% | Input $0.950 | Output $4.00 | Precision int4 | Uptime (1d) 100.00% | | Seller Cloudflare cloudflare Endpoint terms Cached input /M $0.190 Context limit 262,144 tokens Output limit 235,929 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes Unknown | Input $0.950 | Output $4.00 | Precision undeclared | Uptime (1d) 99.59% | | Seller Moonshot AI moonshotai/highspeed Endpoint terms Cached input /M $0.380 Context limit 262,144 tokens Output limit 235,929 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes Unknown | Input $1.90 | Output $8.00 | Precision int4 | Uptime (1d) 99.93% | ### Independent scores No independent benchmark has measured this model. Unrated is not a score of zero. #### Best rankings by task - Htmlslides #7 1201 - Godot games #20 1147 - Agenticgamedev #21 1130 - Full-stack apps #22 1174 - Python pptxslides #22 1154 - ASCII art #24 1207 - Web apps #24 1169 - Native Android apps #25 1152 Per-task Elo and rank from [Design Arena](https://designarena.ai), via OpenRouter’s model feed. The rank is the feed’s, and it counts models OpenRouter does not list. ### Capability | Context window | 262K | | --- | --- | | Max output | 235K | | Input modes | text, image | | Tool use | yes | | Reasoning | always on | | Open weights | yes | ### Provenance | Price source | [openrouter.ai](https://openrouter.ai/api/v1/models) | | --- | --- | | Fetched | 2026-10-06 | | Quality data | unrated | | Cross-checked | [vendor page](https://openrouter.ai/api/v1/models) | ## Our take editorial — not a measurement Evaluate this coding-focused model on the same repository tasks as a hosted alternative. Compare current rates, generated output volume and completion quality. The accepted record lists open weights; private deployment still needs licence, serving and security review. Keep the recorded context and output ceilings separate. ### Strengths - The accepted source describes a coding-specialised open-weight model - Text and image input are listed ### Weaknesses - A coding label does not replace benchmark evidence or repository evaluations - Output limits can constrain a single-pass generation ### Reach for it when - Repository coding evaluations - Private-deployment assessments within licence terms ### Avoid it if - You require a benchmark result not present in the current proof - The required prompt or output exceeds the recorded limits Sources: [openrouter.ai](https://openrouter.ai/api/v1/models) MoonshotAI: Kimi K2.7 Code is a coding-focused model in Moonshot AI's Kimi K2 family, built to complete end-to-end programming tasks reliably over long contexts. It uses a native multimodal mixture-of-experts... ## Questions this page answers What does Kimi K2.7 Code cost? $0.671/M in, $3.35/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription. Does Kimi K2.7 Code have an independent quality score? Kimi K2.7 Code has no independent quality score in this catalogue. Unrated is not a score of zero. What beats Kimi K2.7 Code? Kimi K2.7 Code has no independent quality score. Unrated is not a score of zero. Does this page use Artificial Analysis scores for Kimi K2.7 Code? No. Artificial Analysis figures are not published here. Quality on this page is LMArena Elo where a score exists; otherwise the row is unrated. Does a missing score mean Kimi K2.7 Code scored zero? Unrated is not a score of zero. Is the cheapest Kimi K2.7 Code endpoint the same product? Headline cheapest is a lower precision. Like-for-like at the best declared precision is $0.859/M from SiliconFlow. MODEL MONUMENT ## Save or share this proof Download proof card · 1200 × 630 Preview and more sharing options MoonshotAI: Kimi K2.7 Code. Balanced workload. Not independently rated. Evidence as of 06 Oct 2026. Copy model link Download square card · 1080 × 1080 Copy landscape image Share landscape card ## Related No independent quality score, so there is no dominator to name. Unrated is not a clean bill of health. - Same vendor [Kimi K3](/models/moonshotai__kimi-k3/) - Moonshot AI models [Moonshot AI](/providers/moonshot-ai/) - Where this model appears [wire](/wire/) - Same vendor [Kimi K2.6](/models/moonshotai__kimi-k2.6/) - Where this model appears [self-host](/self-host/) - Same vendor [Kimi K2.5](/models/moonshotai__kimi-k2.5/) - Where this model appears [effort](/effort/) - Where this model appears [spreads](/spreads/) ## Badge The verdict as one SVG, for a README or a docs page. It states this model's dominance status at the balanced workload on the LMArena lens, with the date it was computed, and it is rebuilt with the catalogue — so it changes when the verdict changes, including to one you would rather it did not. Markdown Copy [![Kimi K2.7 Code — Undominated.ai dominance verdict](https://undominated.ai/badge/moonshotai__kimi-k2.7-code.svg)](https://undominated.ai/models/moonshotai__kimi-k2.7-code/) HTML Copy Kimi K2.7 Code — Undominated.ai dominance verdict Direct file: [https://undominated.ai/badge/moonshotai__kimi-k2.7-code.svg](https://undominated.ai/badge/moonshotai__kimi-k2.7-code.svg) — a static SVG, written by scripts/build-badges.mjs on every build, so the copy you embed is never older than the last deploy. ## Continue your investigation - [Explore model families](/families/) - [Compare a shortlist](/compare/) - [Check a model](/check/) - [Understand the evidence](/methodology/)