As of August 20, 2026, Qwen3.7 Flash is 97% cheaper per million tokens than Kimi K2.6. Kimi K2.6 is $0.96 / $3.97 per million input/output tokens versus Qwen3.7 Flash at $0.03 / $0.13. Sources: https://platform.kimi.com/docs/pricing/chat and https://www.qwencloud.com/models/qwen3.7-flash
Sources: Moonshot AI pricing (https://platform.kimi.com/docs/pricing/chat); Qwen pricing (https://www.qwencloud.com/models/qwen3.7-flash)
Kimi K2.6
Moonshot AI
Input
$0.96
Output
$3.97
Qwen3.7 Flash
Qwen
Input
$0.03
Output
$0.13
Token pricing, specs, and benchmarks side by side
Kimi K2.6Qwen3.7 FlashVerdict
Qwen3.7 Flash offers significantly lower pricing, while Kimi K2.6 leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.
As of August 20, 2026, Qwen3.7 Flash is 97% cheaper on blended LLM API pricing. Qwen3.7 Flash costs $0.03 per million input tokens and $0.13 per million output tokens ($0.16 blended 1M-in + 1M-out). Kimi K2.6 costs $0.96 / $3.97 per million tokens ($4.93 blended). Sources: https://platform.kimi.com/docs/pricing/chat and https://www.qwencloud.com/models/qwen3.7-flash. The cheapest LLM for your app still depends on how many output tokens you generate.
Kimi K2.6 Moonshot AI API pricing is $0.96 input and $3.97 output per million tokens via Moonshot AI. Qwen3.7 Flash Qwen API pricing is $0.03 input and $0.13 output per million tokens via Qwen. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Kimi K2.6 has a published SWE-bench Verified score of 80.2%. Qwen3.7 Flash does not have that eval on this page yet.
Kimi K2.6 supports a 262K token context window, while Qwen3.7 Flash supports 1M tokens. Qwen3.7 Flash offers a larger context window. Filling a larger window bills more input tokens, so the cheaper-per-million model can still cost more on long documents.
Kimi K2.6 leads on 2 of 2 shared benchmarks versus Qwen3.7 Flash's 0 wins. Check the comparison table for GPQA Diamond, SWE-bench, MMLU, HLE, and the other evals we track. Token price and benchmark score together are the usual LLM comparison, not either number alone.
Both Kimi K2.6 and Qwen3.7 Flash are production API models. For cost-sensitive production traffic, Qwen3.7 Flash has better economics on the blended 1M-in + 1M-out scale. For maximum capability, weight the benchmark table for your domain. Many production stacks route cheap models for drafts and a frontier model for the hard turn, which is usually cheaper than sending everything to the expensive API.
Yes. Call Kimi K2.6 through Moonshot AI and Qwen3.7 Flash through Qwen with separate API keys, or through a gateway that already wraps both. Keep prompts in tokens, not characters, when you estimate the invoice. AnotherWrapper templates can swap providers without rewriting auth and billing.
List rates are the latest published Moonshot AI API pricing and Qwen API pricing, quoted per million tokens. Official rate sheets: https://platform.kimi.com/docs/pricing/chat and https://www.qwencloud.com/models/qwen3.7-flash. Prompt caching, batch APIs, and committed-use discounts can change the invoice. Benchmark scores are from official publications and independent evals, updated as new numbers land.
Kimi K2.6 supports up to 131K output tokens per request, while Qwen3.7 Flash supports up to 131K output tokens. Output tokens are usually the expensive half of API pricing, so a higher max output cap is a capability, not a discount.
Neither Kimi K2.6 nor Qwen3.7 Flash has published throughput data on this page yet. Throughput (tokens per second) and time-to-first-token are why two models with the same per-million-token price can still feel different in chat and agents.
Use the model pickers at the top of this LLM comparison. Search any model in the index and the URL updates. Open Kimi K2.6 or Qwen3.7 Flash from the sidebar for the single-model API pricing page, or go back to the LLM pricing table to sort by cheapest blended cost.
This comparison covers API pricing, context window, throughput, and benchmark scores. Kimi K2.6 costs $0.96/M input and $3.97/M output. Qwen3.7 Flash costs $0.03/M input and $0.13/M output.
Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
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