# MiniMax M2

MiniMax M2 costs $0.255 per million input tokens and $1.02 per million output tokens, as of October 21, 2026. Only one of the 6 coding benchmarks behind the index has measured it, and the index needs two, so there is not enough data for a coding score. 49 benchmarks outside the index have a result below.

Page: https://llmbenchmark.ai/models/minimax-minimax-m2
Data from October 21, 2026. Every figure below names the board it was read from and the day.

- Maker: MiniMax
- Released: October 23, 2025
- Price per million input tokens: $0.255
- Price per million output tokens: $1.02
- Context window: 205K tokens
- Vibe Coding Index: not enough data (one index benchmark; at least two are needed to rank)

Benchmark results (50 of 195):

- SWE-bench Verified: 61.0% (source: SWE-bench (swebench.com), read October 21, 2026)
- LMArena WebDev: 1297 Elo (source: LMArena WebDev, read October 21, 2026)
- AA Intelligence Index: 18.6 (source: Artificial Analysis (via OpenRouter), read October 21, 2026)
- Design Arena: websites: 1143 Elo (source: Design Arena, read October 21, 2026)
- Design Arena: UI components: 1136 Elo (source: Design Arena, read October 21, 2026)
- Design Arena: game dev: 1118 Elo (source: Design Arena, read October 21, 2026)
- Design Arena: data viz: 1140 Elo (source: Design Arena, read October 21, 2026)
- Design Arena: 3D: 1098 Elo (source: Design Arena, read October 21, 2026)
- Design Arena: all code categories: 1135 Elo (source: Design Arena, read October 21, 2026)
- Design Arena: SVG: 1100 Elo (source: Design Arena, read October 21, 2026)
- AA Math Index: 78.3 (source: Artificial Analysis, read October 21, 2026)
- GPQA Diamond (Artificial Analysis run): 77.7% (source: Artificial Analysis, read October 21, 2026)
- Humanity's Last Exam (Artificial Analysis run): 13.7% (source: Artificial Analysis, read October 21, 2026)
- MMLU Pro (Artificial Analysis run): 82.0% (source: Artificial Analysis, read October 21, 2026)
- LiveCodeBench (Artificial Analysis run): 82.6% (source: Artificial Analysis, read October 21, 2026)
- Terminal-Bench Hard (Artificial Analysis run): 25.8% (source: Artificial Analysis, read October 21, 2026)
- IFBench: 72.3% (source: Artificial Analysis, read October 21, 2026)
- Long context reasoning (AA-LCR): 64.3% (source: Artificial Analysis, read October 21, 2026)
- τ²-Bench Telecom: 86.8% (source: Artificial Analysis, read October 21, 2026)
- AIME 2025 (Artificial Analysis run): 78.3% (source: Artificial Analysis, read October 21, 2026)
- Terminal-Bench: 30.0% (source: Epoch AI benchmarking hub, read October 21, 2026)
- Vending-Bench 2: $161 (source: Epoch AI benchmarking hub, read October 21, 2026)
- LMArena Text: 1340 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: coding: 1371 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: hard prompts: 1357 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: math: 1351 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: instruction following: 1329 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: creative writing: 1286 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: English: 1364 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: non-English: 1313 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: Chinese: 1366 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: German: 1357 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: French: 1336 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: Spanish: 1326 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: Russian: 1330 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: Polish: 1312 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: multi-turn: 1361 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: longer queries: 1331 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: expert: 1338 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: hard prompts in English: 1376 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: software and IT: 1373 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: mathematical work: 1368 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: science: 1348 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: medicine and healthcare: 1367 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: legal and government: 1349 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: business and finance: 1336 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: writing and language: 1295 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena Text: entertainment and media: 1298 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- LMArena WebDev: HTML: 1306 Elo (source: LMArena (Hugging Face dataset), read October 21, 2026)
- Kagi LLM Benchmark: 57.8% (source: Kagi LLM Benchmarking Project, read October 21, 2026)