As of August 30, 2026, MiniMax M1 40K API pricing is $0.55 per million input tokens and $2.20 per million output tokens. A typical 100K-in / 20K-out request costs $0.10. Source: https://openrouter.ai/minimax/minimax-m1
Blended / 1M
$2.75
Input
$0.55
Output
$2.20
100K / 20K
$0.10
Specs
41K
Jun 16, 2025
Open source
Percentile against every model with a published score on that eval. Click a row for the full board.
SWE-bench Verified against blended input+output $/M. Log price. MiniMax M1 40K is the green point.
Published scores
16 evals · 6 groups
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As of August 30, 2026, MiniMax M1 40K OpenRouter API pricing is $0.55 per million input tokens and $2.20 per million output tokens via OpenRouter. Input tokens are the prompt you send; output tokens are the completion. Long answers therefore cost more than short ones even when the prompt stays the same. Source: https://openrouter.ai/minimax/minimax-m1
On this page the blended MiniMax M1 40K API cost is $2.75 for 1 million input tokens plus 1 million output tokens. That 1:1 mix is the comparison scale used across the LLM pricing table. A 3:1 mix (three million input tokens per one million output tokens), which some calculators use, would be about $3.85.
A typical MiniMax M1 40K API request with 100K input tokens and 20K output tokens costs about $0.10 at current rates as of August 30, 2026. Multiply that by daily or monthly volume to estimate spend. Caching, batch APIs, and volume discounts from OpenRouter can bring the real invoice lower than the public list rate at https://openrouter.ai/minimax/minimax-m1.
MiniMax M1 40K supports a 41K token context window. The context window is the total prompt plus conversation history the model can see in one call. Larger windows cost more when you fill them, because every input token is billed per million tokens.
Yes. MiniMax M1 40K is an open-weight model by MiniMax. You can download the weights and self-host, or pay OpenRouter's hosted API and skip GPU ops. Hosted API pricing on this page is the public per-million-token rate, not the electricity cost of running the weights yourself.
MiniMax M1 40K currently reports HLE 7.2%, GPQA 69.2%, SWE-bench Verified 55.6%. See the performance table for the full eval set. Use those scores with the token prices above when you are choosing between a cheaper LLM and a frontier model. GPQA, SWE-bench, and HLE are the evals people usually compare first.
MiniMax M1 40K scores 55.6% on SWE-bench Verified. Pair that score with OpenRouter API pricing on this page: a slightly worse SWE-bench model can still win if it is much cheaper per million tokens. Open the SWE-bench or coding leaderboard from the sidebar for the full ranking, then jump into an LLM comparison against a coding specialist.
Use the Compare picker on this page to start an LLM comparison. Search by model or provider, pick a second model, and AnotherWrapper opens a dedicated MiniMax M1 40K vs page with per-million-token prices, blended 1M-in / 1M-out cost, context window, throughput, and benchmarks. You can also open any model from the sidebar, or go back to the LLM pricing table to sort the full index.
The cheapest LLM alternative depends on whether you optimize for blended token cost, coding evals, or context window. Start with the popular matchups on this page, then sort the LLM pricing table by blended cost to see which hosted APIs undercut MiniMax M1 40K. Open-weight models can be cheaper still if you self-host, but that is not the same as OpenRouter API pricing on this page.
MiniMax M1 40K is called through OpenRouter's API with an API key. Bill against input and output tokens separately; cache or shorten prompts if spend is high. If you are shipping a full product, AnotherWrapper includes pre-built API routes and templates for OpenRouter and 5+ other providers with auth, payments, and deployment already configured.
This MiniMax M1 40K page tracks the latest published OpenRouter API pricing from OpenRouter, quoted per million tokens. List rates can differ from invoices because of prompt caching, batch discounts, committed-use tiers, and private contracts. Official rate sheet: https://openrouter.ai/minimax/minimax-m1. Benchmark scores come from official publications and independent evals, not from a private lab run by AnotherWrapper.
MiniMax M1 40K is a open-source model from MiniMax. Current API pricing is $0.55 per million input tokens and $2.20 per million output tokens, with a 41K token context window. A blended 1M-in / 1M-out workload costs $2.75.
Source: OpenRouter pricing (https://openrouter.ai/minimax/minimax-m1)
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