MiniMax·released 2026-02-12✓ 2 sources
MiniMax-M2.5 benchmark scores: 6 benchmarks tracked. 0% of its scores are independently reproduced — the rest are self-reported or unverified.
Leads on 0 of 6 benchmarks·best result 63.67 on ARC-AGI (unverified)·0 of 6 independently reproduced·$0.3/$1.2 per M tokens
Consensus: LiteLLM · Cross-check: OpenRouter · See every model’s pricing →
| Benchmark | Score | Evidence status | Measured |
|---|---|---|---|
| ARC-AGI | 63.67accuracy (%) | unverified· optimizedT2 | 2026-02-12 |
| Terminal Bench | 42.7accuracy (%) | unverifiedT1 | 2026-02-12https://www.tbench.ai/leaderboard/terminal-bench/2.0 |
| CL-bench | 11.4accuracy (%) | unverifiedT2 | 2026-02-12 |
| CL-bench Life | 6.3accuracy (%) | unverifiedT2 | 2026-02-12 |
| ARC-AGI-2 | 4.86accuracy (%) | unverifiedT2 | 2026-02-12 |
| ProofBench | 4accuracy (%) | unverifiedT1 | 2026-02-12https://www.vals.ai/benchmarks/proof_bench |
Claims drawn from cited facts, not live model generation.
This model was developed by MiniMax and released in 2026. At roughly 228.7 billion parameters it sits at the large end of the scale, a footprint that buys substantially more capability headroom while carrying correspondingly higher training and serving costs than compact, efficiency-oriented alternatives.
3 cited facts
This model is scored on six tracked benchmarks and currently holds no top score on any of them. Its record is unverified: outside evaluation has neither confirmed nor disputed the reported results.
3 cited facts
On average, this model trails the benchmark leader by 49.23 points under the disclosed harness, a wide score gap that reads as well behind the leaders. It holds the top score on 0 benchmarks, so there is no category leadership yet.
2 cited facts
6 facts cross-checked across data sources: 2 corroborated, 1 single-source, 3 disputed.
Source facts, citations, and refresh stamp for this record.
Sources: epoch_benchmarks, huggingface_models, litellm_prices, openrouter_models
MiniMax-M2.5 is an AI model developed by MiniMax, released 2026-02-12. Its benchmark record below tags every score as independently reproduced, self-reported, or unverified.
MiniMax-M2.5 has recorded scores on 6 benchmarks, each shown with its evidence status.
MiniMax-M2.5 has recorded scores on 6 benchmarks — ARC-AGI, ARC-AGI-2, ProofBench, Terminal Bench, CL-bench, CL-bench Life. The full table above shows each score with its evidence status.
0 of 6 recorded scores (0%) are independently reproduced rather than self-reported by the lab.
MiniMax-M2.5 has 6 tracked claims: 6 unverified.
Listed API pricing: $0.3 per million input tokens, $1.2 per million output tokens (prices disputed across sources). See the pricing block for the full breakdown.