MiniMax: MiniMax M2
Analysis Summary
MiniMax M2 is a capable model with an intelligence index of 28.3 and standout coding and agentic performance: LiveCodeBench at 0.826, TAU2 at 0.869, and an agentic index of 56.3 place it well above most mid-tier models. Tool use and function calling are supported, and the 200K context window handles long documents and codebases comfortably. GPQA at 0.777 and MMLU-Pro at 0.820 confirm strong general reasoning.
For businesses, M2 is a strong fit for coding automation, agentic pipelines, and long-document analysis. Its instruction-following (IFBench 0.723) and long-context reasoning (LCR 0.61) make it reliable for structured content workflows. The absence of vision is a limitation for teams needing multimodal capability.
At $0.255 input and $1.02 output per million tokens, it offers excellent price-performance for its capability tier. A -4 point regional penalty applies given MiniMax's limited enterprise footprint, but the model's raw capability makes it worth evaluating for cost-sensitive technical workloads.
Assessed July 10, 2026
Editorial notes
MiniMax M2 delivers strong coding and agentic benchmarks with a 200K context window and tool use support at very competitive pricing, though it lacks vision and comes from a provider with limited enterprise adoption.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
MiniMax M2 delivers strong coding and agentic benchmarks with a 200K context window and tool use support at very competitive pricing, though it lacks vision and comes from a provider with limited enterprise adoption.
Benchmark scores
Magenta = intelligence Ā· Ink = technical/agentic Ā· Cyan = content & long-context Ā· Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
28.3 Intelligence IndexĀ·56.3 Agentic IndexĀ·78.3 Math Index
How MiniMax: MiniMax M2 compares
MiniMax: MiniMax M2 ranks #101 of 393 AI models we track for overall intelligence, #63 of 300 for agentic tasks. Its 205K-token context window is larger than 65% of the models we list. At $0.30 per million input tokens it is cheaper than 45% of comparable models.
Dark bar = input Ā· light bar = output, scaled to the priciest peer.
1M tokens ā 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on content. The pulled-in intelligence corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side āPricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.30 | $0.000300 |
| Output | $1.20 | $0.001200 |
What would MiniMax: MiniMax M2 cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 612 models ā Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save MiniMax: MiniMax M2 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout MiniMax: MiniMax M2
MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows. With 10 billion activated parameters (230 billion total), it delivers near-frontier intelligence across general reasoning,..
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Frequently asked questions about MiniMax: MiniMax M2
How much does MiniMax: MiniMax M2 cost?
MiniMax: MiniMax M2 costs $0.30 per million input tokens and $1.20 per million output tokens.
What is the context window of MiniMax: MiniMax M2?
MiniMax: MiniMax M2 has a context window of 204,800 tokens (205K).
What can MiniMax: MiniMax M2 do?
MiniMax: MiniMax M2 supports tool use and function calling.
Who created MiniMax: MiniMax M2?
MiniMax: MiniMax M2 is developed by MiniMax and was released on October 23, 2025.
