As of August 30, 2026, Phi 4 Mini is 84% cheaper per million tokens than MiniMax M1 40K. MiniMax M1 40K is $0.55 / $2.20 per million input/output tokens versus Phi 4 Mini at $0.08 / $0.35. Sources: https://openrouter.ai/minimax/minimax-m1 and https://openrouter.ai/api/v1/models
Sources: OpenRouter pricing (https://openrouter.ai/minimax/minimax-m1); OpenRouter pricing (https://openrouter.ai/api/v1/models)
MiniMax M1 40K
MiniMax
Input
$0.55
Output
$2.20
Phi 4 Mini
Microsoft
Input
$0.08
Output
$0.35
Token pricing, specs, and benchmarks side by side
Each bar is share of the current leader on that eval. Click a row to open the board.
GPQA. Left is cheaper. Up is a higher score. The line is the best score you can buy at each price.
MiniMax M1 40KPhi 4 MiniVerdict
Phi 4 Mini offers significantly lower pricing, while MiniMax M1 40K leads on benchmark performance. Your choice depends on whether cost efficiency or raw capability matters more for your use case.
As of August 30, 2026, Phi 4 Mini is 84% cheaper on blended LLM API pricing. Phi 4 Mini costs $0.08 per million input tokens and $0.35 per million output tokens ($0.43 blended 1M-in + 1M-out). MiniMax M1 40K costs $0.55 / $2.20 per million tokens ($2.75 blended). Sources: https://openrouter.ai/minimax/minimax-m1 and https://openrouter.ai/api/v1/models. The cheapest LLM for your app still depends on how many output tokens you generate.
MiniMax M1 40K OpenRouter API pricing is $0.55 input and $2.20 output per million tokens via OpenRouter. Phi 4 Mini OpenRouter API pricing is $0.08 input and $0.35 output per million tokens via OpenRouter. Use those four numbers, not ChatGPT Plus or Claude Pro subscription prices, when you are comparing APIs.
MiniMax M1 40K has a published SWE-bench Verified score of 55.6%. Phi 4 Mini does not have that eval on this page yet.
MiniMax M1 40K supports a 41K token context window, while Phi 4 Mini supports 131K tokens. Phi 4 Mini 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.
MiniMax M1 40K leads on 2 of 2 shared benchmarks versus Phi 4 Mini'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 MiniMax M1 40K and Phi 4 Mini are production API models. For cost-sensitive production traffic, Phi 4 Mini 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 MiniMax M1 40K through OpenRouter and Phi 4 Mini through OpenRouter 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 OpenRouter API pricing and OpenRouter API pricing, quoted per million tokens. Official rate sheets: https://openrouter.ai/minimax/minimax-m1 and https://openrouter.ai/api/v1/models. 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.
MiniMax M1 40K supports up to an unspecified number of output tokens per request, while Phi 4 Mini 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 MiniMax M1 40K nor Phi 4 Mini 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 MiniMax M1 40K or Phi 4 Mini 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. MiniMax M1 40K costs $0.55/M input and $2.20/M output via OpenRouter. Phi 4 Mini costs $0.08/M input and $0.35/M output via OpenRouter.
Rank both on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
The index
343 models across 36 providers. Search or jump to a lab — every model page stays linked here.
Next step
Auth, billing, and the API layer are already decided. Fork 8 finished AI apps, or have us build the first version with you.
