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Model comparison

GPT-4.1 vs MiniMax M1 80k

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.
OpenAI
50.44/100
No comparison
N/A
0 category wins0 category wins

Public leaderboard positions: GPT-4.1 #111 (Supported); MiniMax M1 80k #200 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-4.1 and MiniMax M1 80k share 0 comparable benchmark results. 0 of 8 categories are comparable. 20 results are unique to GPT-4.1; 0 to MiniMax M1 80k.

Updated July 24, 2026
Shared results
0
GPT-4.1 only
20
MiniMax M1 80k only
0
Comparable categories
0 / 8

Benchmark data for GPT-4.1 and MiniMax M1 80k 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 does not have sourced benchmark coverage for MiniMax M1 80k yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

GPT-4.1 has the larger context window at 1M, compared with 80K for MiniMax M1 80k.

Operational comparison

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

MetricGPT-4.1MiniMax M1 80kComparison
Input / output priceUSD per 1M tokensGPT-4.1$2 input / $8 outputMiniMax M1 80kNot availableA complete price comparison is not available.
Generation speedtokens per secondGPT-4.1108 tok/sMiniMax M1 80kNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-4.11.02 sMiniMax M1 80kNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-4.11MMiniMax M1 80k80KGPT-4.1 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-4.1MiniMax M1 80kResult
τ²-bench resultsSource 47.1%Not comparable
Gert LabsSource 25.65%Not comparable
Coding
BenchmarkGPT-4.1MiniMax M1 80kResult
SWE-bench VerifiedSource 54.6%Not comparable
AA-SciCodeSource 38.1%Not comparable
Reasoning
BenchmarkGPT-4.1MiniMax M1 80kResult
AA-LCRSource 61.0%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkGPT-4.1MiniMax M1 80kResult
MMLUSource 90.2%Not comparable
GPQASource 66.3%Not comparable
Artificial Analysis Intelligence IndexSource 19.4%Not comparable
AA-GPQA DiamondSource 66.6%Not comparable
AA-HLESource 4.6%Not comparable
AA-Omniscience IndexSource -36.2%Not comparable
AA-Omniscience AccuracySource 24.2%Not comparable
AA-Omniscience Hallucination RateSource 79.6%Not comparable
Math
BenchmarkGPT-4.1MiniMax M1 80kResult
FrontierMath v2 (Tiers 1-3)Source 5.517%Not comparable
FrontierMath v2 (Tier 4)Source 0.000%Not comparable
Multimodal
BenchmarkGPT-4.1MiniMax M1 80kResult
AA-MMMU-ProSource 61.2%Not comparable
Design Arena WebsiteSource 1068Not comparable
Inst. Following
BenchmarkGPT-4.1MiniMax M1 80kResult
IFEvalSource 87.4%Not comparable
AA-IFBenchSource 43.0%Not comparable
Frequently Asked Questions (3)

Can I compare GPT-4.1 and MiniMax M1 80k 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 and MiniMax M1 80k today?

GPT-4.1: $2.00 input / $8.00 output per 1M tokens MiniMax M1 80k: Pricing unavailable Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 24, 2026