MiniMax-M1-80k
Released
2025-06-16
Last refreshed
2026-10-09
Status
Researched 36d ago
Open sourceCommercial use: permittedCodingAgentsLong contextClassification
MiniMax releases · 12 in the last 12 monthsChangelog →
Specifications
- Family
- MiniMax M1
- Released
- 2025-06-16
- Context
- 1M
- Parameters
- 456B total, 45.9B active (MoE)
- Architecture
- Mixture of Experts
- Specialization
- general
- Openness
- Open source
- License
- Apache 2.0OSI-approvedPermitted
- Weights
- Available
- Code
- Unknown
- Training
- Pretrained
Created by
Pricing
Output / 1M
$0.900
Input / 1M
$0.900
Cheapest of 2 routes · Fireworks AI
Created by
Pricing
Output / 1M
$0.900
Input / 1M
$0.900
Cheapest of 2 routes · Fireworks AI
About
MiniMax-M1-80k is MiniMax's MiniMax M1 model. It offers an 80K-token context window.
Providers(2)
Compare all 2Compare API pricing across 2 tracked provider routes for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Fireworks AI | $0.900 | $0.900 | Serverless |
| Novita AI | $0.550 | $2.20 | Serverless |
Available via routers & gateways(1)
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
SWE-bench VerifiedRank 92 of 104
LiveCodeBenchRank 64 of 79
Benchmark scores(9)
Scores are benchmark-specific and are direction-aware: the same numeric gap can mean very different outcomes across suites. Use the leaderboard context and this model's provider route to decide whether the winning margin is meaningful for your workload.
| Benchmark | Score | Version | Evaluation | Source |
|---|---|---|---|---|
| 86.0 | AIME 2024, 80K thinking budget (accuracy)Observed 2026-10-08 | — | ||
| 76.9 | AIME 2025, 80K thinking budget (accuracy)Observed 2026-10-08 | — | ||
| 96.8 | MATH-500 (accuracy)Observed 2026-10-08 | — | ||
| 65.0 | LiveCodeBench 24/8~25/5 (accuracy)Observed 2026-10-08 | — | ||
| 70.0 | diamondObserved 2026-10-08 | — | ||
| 8.4 | HLE text-only, no tools (accuracy)Observed 2026-10-08 | — | ||
| 81.1 | MMLU-Pro (accuracy)Observed 2026-10-08 | — | ||
| 56.0 | SWE-bench VerifiedObserved 2026-10-08 | — | ||
| 44.7 | MultiChallenge (accuracy)Observed 2026-10-08 | — |
Migration checks
No linked migration route is available for this model yet.