As of August 20, 2026, Laguna S 2.1 is 88% cheaper per million tokens than Kimi K2-Thinking-0905. Kimi K2-Thinking-0905 is $0.47 / $2.00 per million input/output tokens versus Laguna S 2.1 at $0.10 / $0.20. Sources: https://platform.kimi.com/docs/pricing/chat and https://poolside.ai
Sources: Moonshot AI pricing (https://platform.kimi.com/docs/pricing/chat); Poolside pricing (https://poolside.ai)
Kimi K2-Thinking-0905
Moonshot AI
Input
$0.47
Output
$2.00
Laguna S 2.1
Poolside
Input
$0.10
Output
$0.20
Token pricing, specs, and benchmarks side by side
Kimi K2-Thinking-0905Laguna S 2.1Verdict
Laguna S 2.1 offers both lower pricing and stronger benchmark performance across the board, making it the clear value leader in this comparison.
As of August 20, 2026, Laguna S 2.1 is 88% cheaper on blended LLM API pricing. Laguna S 2.1 costs $0.10 per million input tokens and $0.20 per million output tokens ($0.30 blended 1M-in + 1M-out). Kimi K2-Thinking-0905 costs $0.47 / $2.00 per million tokens ($2.47 blended). Sources: https://platform.kimi.com/docs/pricing/chat and https://poolside.ai. The cheapest LLM for your app still depends on how many output tokens you generate.
Kimi K2-Thinking-0905 Moonshot AI API pricing is $0.47 input and $2.00 output per million tokens via Moonshot AI. Laguna S 2.1 Poolside API pricing is $0.10 input and $0.20 output per million tokens via Poolside. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
Kimi K2-Thinking-0905 has a published SWE-bench Verified score of 71.3%. Laguna S 2.1 does not have that eval on this page yet.
Kimi K2-Thinking-0905 supports a 262K token context window, while Laguna S 2.1 supports 1M tokens. Laguna S 2.1 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.
Laguna S 2.1 leads on 1 of 1 shared benchmarks versus Kimi K2-Thinking-0905'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-Thinking-0905 and Laguna S 2.1 are production API models. For cost-sensitive production traffic, Laguna S 2.1 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-Thinking-0905 through Moonshot AI and Laguna S 2.1 through Poolside 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 Poolside API pricing, quoted per million tokens. Official rate sheets: https://platform.kimi.com/docs/pricing/chat and https://poolside.ai. 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-Thinking-0905 supports up to 262K output tokens per request, while Laguna S 2.1 supports up to an unspecified number of 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-Thinking-0905 nor Laguna S 2.1 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-Thinking-0905 or Laguna S 2.1 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-Thinking-0905 costs $0.47/M input and $2.00/M output. Laguna S 2.1 costs $0.10/M input and $0.20/M output.
Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
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