Model comparison
GPT-4.1 mini vs MiniMax M2.5
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-4.1 mini #160 (Estimated); MiniMax M2.5 #62 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-4.1 mini and MiniMax M2.5 share 0 comparable benchmark results. 0 of 8 categories are comparable. 22 results are unique to GPT-4.1 mini; 1 to MiniMax M2.5.
Updated July 24, 2026- Shared results
- 0
- GPT-4.1 mini only
- 22
- MiniMax M2.5 only
- 1
- Comparable categories
- 0 / 8
Benchmark data for GPT-4.1 mini and MiniMax M2.5 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
GPT-4.1 mini is priced at $0.40 input / $1.60 output per 1M tokens, versus $0.30 input / $1.20 output per 1M tokens for MiniMax M2.5. GPT-4.1 mini has the larger context window at 1M, compared with 128K for MiniMax M2.5.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-4.1 mini | MiniMax M2.5 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-4.1 mini$0.4 input / $1.6 output | MiniMax M2.5$0.3 input / $1.2 output | MiniMax M2.5 has the lower combined listed price. |
| Generation speedtokens per second | GPT-4.1 mini80 tok/s | MiniMax M2.546 tok/s | GPT-4.1 mini has the higher measured throughput. |
| First-answer latencyseconds to first token | GPT-4.1 mini0.76 s | MiniMax M2.52.12 s | GPT-4.1 mini reaches the first token sooner. |
| Context windowmaximum listed tokens | GPT-4.1 mini1M | MiniMax M2.5128K | GPT-4.1 mini lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding4 benchmarks
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | GPT-4.1 mini | MiniMax M2.5 | Result |
|---|---|---|---|
| MMLUSource | 87.5% | — | Not comparable |
| GPQASource | 64.2% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 14.8% | — | Not comparable |
| AA-GPQA DiamondSource | 66.4% | — | Not comparable |
| AA-HLESource | 4.6% | — | Not comparable |
| AA-Omniscience IndexSource | -50.1% | — | Not comparable |
| AA-Omniscience AccuracySource | 17.5% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 82.0% | — | Not comparable |
Math1 benchmarks
| Benchmark | GPT-4.1 mini | MiniMax M2.5 | Result |
|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)Source | 4.483% | — | Not comparable |
Multimodal2 benchmarks
Frequently Asked Questions (3)
Can I compare GPT-4.1 mini and MiniMax M2.5 on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for GPT-4.1 mini and MiniMax M2.5 today?
GPT-4.1 mini: $0.40 input / $1.60 output per 1M tokens MiniMax M2.5: $0.30 input / $1.20 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.