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Model comparison

GPT-5 (medium) vs MiniMax M2.5

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
55.15/100
Margin
4.4pts
winning →
59.52/100
0 category wins0 category wins

Public leaderboard positions: GPT-5 (medium) #84 (Supported); MiniMax M2.5 #55 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5 (medium) and MiniMax M2.5 share 0 comparable benchmark results. 0 of 8 categories are comparable. 14 results are unique to GPT-5 (medium); 1 to MiniMax M2.5.

Updated July 21, 2026
Shared results
0
GPT-5 (medium) only
14
MiniMax M2.5 only
1
Comparable categories
0 / 8

Benchmark data for GPT-5 (medium) 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.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricGPT-5 (medium)MiniMax M2.5Comparison
Input / output priceUSD per 1M tokensGPT-5 (medium)Not availableMiniMax M2.5$0.3 input / $1.2 outputA complete price comparison is not available.
Generation speedtokens per secondGPT-5 (medium)83 tok/sMiniMax M2.546 tok/sGPT-5 (medium) has the higher measured throughput.
First-answer latencyseconds to first tokenGPT-5 (medium)36.28 sMiniMax M2.52.12 sMiniMax M2.5 reaches the first token sooner.
Context windowmaximum listed tokensGPT-5 (medium)128KMiniMax M2.5128KListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkGPT-5 (medium)MiniMax M2.5Result
τ²-bench resultsSource 86.5%Not comparable
Coding
BenchmarkGPT-5 (medium)MiniMax M2.5Result
AA-SciCodeSource 41.1%Not comparable
Vibe Code BenchSource 14.85%Not comparable
Reasoning
BenchmarkGPT-5 (medium)MiniMax M2.5Result
AA-LCRSource 72.8%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkGPT-5 (medium)MiniMax M2.5Result
Artificial Analysis Intelligence IndexSource 33.7%Not comparable
AA-GPQA DiamondSource 84.2%Not comparable
AA-HLESource 23.5%Not comparable
AA-Omniscience IndexSource -10.1%Not comparable
AA-Omniscience AccuracySource 38.9%Not comparable
AA-Omniscience Hallucination RateSource 80.1%Not comparable
Math
BenchmarkGPT-5 (medium)MiniMax M2.5Result
AA MATH-500Source 99.1%Not comparable
Multimodal
BenchmarkGPT-5 (medium)MiniMax M2.5Result
AA-MMMU-ProSource 74.3%Not comparable
Design Arena WebsiteSource 1214Not comparable
Inst. Following
BenchmarkGPT-5 (medium)MiniMax M2.5Result
AA-IFBenchSource 70.6%Not comparable
Frequently Asked Questions (3)

Can I compare GPT-5 (medium) 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-5 (medium) and MiniMax M2.5 today?

GPT-5 (medium): Pricing unavailable 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.

Related Comparisons

Last updated: July 21, 2026

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