--- title: "MiniMax: MiniMax M2 — price, capability and what beats it · Undominated.ai" canonical: https://undominated.ai/models/minimax__minimax-m2/ description: "MiniMax: MiniMax M2: $0.300/M in, $1.20/M out. Independent capability scores, and alternatives compared under recorded workload and capability requirements." --- # MiniMax: MiniMax M2 — price, capability and what beats it · Undominated.ai > MiniMax: MiniMax M2: $0.300/M in, $1.20/M out. Independent capability scores, and alternatives compared under recorded workload and capability requirements. [Check base rates for this workload](/check/minimax__minimax-m2/) [Cheaper alternatives](/alternatives/minimax__minimax-m2/) [Family](/families/minimax/) [Compare models](https://undominated.ai/compare/?models=minimax%2Fminimax-m2) Comparison context Choose up to three standard models in Compare. Requirements and prompt length apply in Compare. This page keeps its stated price basis and workload controls. MODEL PROOF # MiniMax M2 MiniMax · 23 Oct 2025 Balanced Summarise Chat Code gen Agentic BETTER VALUE OPTION ## A stored alternative has an equal-or-higher measured score and an equal-or-lower price. **$0.525** / 1M tokens Balanced · 3 tokens in per 1 out Serving precision differs between offers. [GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) · Δ score 129.7 points · 55% lower measured price · $0.238 / 1M tokens [MiMo-V2.6-Flash](/models/xiaomi__mimo-v2.6-flash/) is a further stored option with these losses: 177K → 131K max output Evidence as of 06 Oct 2026 [openrouter/models](https://openrouter.ai/api/v1/models) [LMArena · cc-by-4.0](https://huggingface.co/datasets/lmarena-ai/leaderboard-dataset) Independent LMArena score 1,339.9 ± 7.71 · 6,817 votes Context window 204.8K Maximum output 176.95K Input modalities text Output modalities text Published input price $0.300 / 1M tokens Published output price $1.20 / 1M tokens Pricing kind fixed Inspect [complete billing conditions](#billing-details) and endpoint terms below. Price from Novita: the cheapest offer that is serving, at standard delivery and at the maker’s precision or better, at its standard rate. Cheaper right now: $0.446/M at Minimax — promotion 15% It does not pass the like-for-like test, so it never sets a rank. Every price dimension · USD per million tokens | Input | $0.300 /M | | --- | --- | | Output | $1.20 /M | | Cached input | $0.030 /M | | Cache write | Unknown /M | | Cache write 1h | Unknown /M | | Reasoning | Unknown /M | ### Who sells it The same weights, different shops. Cheapest is not like-for-like when serving precision differs. Headline cheapest is a lower precision. Like-for-like at the best declared precision is $0.300/M from Novita. 3 provider offers · rates, limits and conditions Rates are USD per million tokens. Endpoint terms can differ even when the quoted price and precision match. A listed parameter is a provider declaration, not a task-success test. | Seller | Input | Output | Precision | Uptime (1d) | | --- | --- | --- | --- | --- | | Seller Minimax minimax/fp8 Endpoint terms Cached input /M Unknown Context limit 204,800 tokens Output limit 131,072 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount 15% · already included in these rates Uptime · last 30 minutes 100.00% | Input $0.255 | Output $1.02 | Precision fp8 | Uptime (1d) 100.00% | | Seller Novita novita/fp8 Endpoint terms Cached input /M $0.030 Context limit 204,800 tokens Output limit 131,072 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes Unknown | Input $0.300 | Output $1.20 | Precision fp8 | Uptime (1d) 99.87% | | Seller Google google-vertex Endpoint terms Cached input /M Unknown Context limit 196,608 tokens Output limit 176,947 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes Unknown | Input $0.300 | Output $1.20 | Precision undeclared | Uptime (1d) 97.66% | ### Independent scores | LMArena Elo | 1339.9 default | | --- | --- | LMArena Elo under CC BY 4.0. Absence of another board is not a score of zero. #### Best rankings by task - SVG #59 1099 - Data visualisation #76 1147 - UI components #77 1143 - Game development #80 1131 - 3D #81 1105 - Websites #83 1149 - Code categories #84 1139 Per-task Elo and rank from [Design Arena](https://designarena.ai), via OpenRouter’s model feed. The rank is the feed’s, and it counts models OpenRouter does not list. ### Capability | Context window | 204K | | --- | --- | | Max output | 176K | | Input modes | text | | Tool use | yes | | Reasoning | always on | | Open weights | Unknown | ### Provenance | Price source | [openrouter.ai](https://openrouter.ai/api/v1/models) | | --- | --- | | Fetched | 2026-10-06 | | Quality data | verified | 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,... ## Questions this page answers What does MiniMax M2 cost? $0.300/M in, $1.20/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription. Does MiniMax M2 have an independent quality score? MiniMax M2 has an LMArena score in this catalogue. What beats MiniMax M2? GLM 5.3 Flash has an equal-or-higher measured score and an equal-or-lower price. Does this page use Artificial Analysis scores for MiniMax M2? No. Artificial Analysis figures are not published here. Quality on this page is LMArena Elo where a score exists; otherwise the row is unrated. Is the cheapest MiniMax M2 endpoint the same product? Headline cheapest is a lower precision. Like-for-like at the best declared precision is $0.300/M from Novita. MODEL MONUMENT ## Save or share this proof Download proof card · 1200 × 630 Preview and more sharing options MiniMax: MiniMax M2. Balanced workload. Better value option available. Evidence as of 06 Oct 2026. Copy model link Download square card · 1080 × 1080 Copy landscape image Share landscape card ## Related - Both better and cheaper [GLM 5.3 Flash](/models/z-ai__glm-5.3-flash/) - Higher score and cheaper, with a named trade [MiMo-V2.6-Flash](/models/xiaomi__mimo-v2.6-flash/) - Nearby on the capability axis [Trinity Large Thinking](/models/arcee-ai__trinity-large-thinking/) - Same vendor [MiniMax M1](/models/minimax__minimax-m1/) - MiniMax models [MiniMax](/providers/minimax/) - Where this model appears [wire](/wire/) - Nearby on the capability axis [Claude Sonnet 4](/models/anthropic__claude-sonnet-4/) - Same vendor [MiniMax M2.5](/models/minimax__minimax-m2.5/) - Where this model appears [effort](/effort/) - Nearby on the capability axis [Qwen3 32B](/models/qwen__qwen3-32b/) - Same vendor [MiniMax M2.7](/models/minimax__minimax-m2.7/) - Where this model appears [spreads](/spreads/) ## Badge The verdict as one SVG, for a README or a docs page. It states this model's dominance status at the balanced workload on the LMArena lens, with the date it was computed, and it is rebuilt with the catalogue — so it changes when the verdict changes, including to one you would rather it did not. Markdown Copy [![MiniMax M2 — Undominated.ai dominance verdict](https://undominated.ai/badge/minimax__minimax-m2.svg)](https://undominated.ai/models/minimax__minimax-m2/) HTML Copy MiniMax M2 — Undominated.ai dominance verdict Direct file: [https://undominated.ai/badge/minimax__minimax-m2.svg](https://undominated.ai/badge/minimax__minimax-m2.svg) — a static SVG, written by scripts/build-badges.mjs on every build, so the copy you embed is never older than the last deploy. ## Continue your investigation - [Explore model families](/families/) - [Compare a shortlist](/compare/) - [Check a model](/check/) - [Understand the evidence](/methodology/)