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Model comparison

Gemini 3.1 Pro vs MiniMax M2.7

Data verified

Head-to-head evidence from 22 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

55.3/100
Margin
8.8pts
winning →
64.11/100
0 category wins0 category wins

Public leaderboard positions: Gemini 3.1 Pro #83 (Estimated); MiniMax M2.7 #36 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemini 3.1 Pro and MiniMax M2.7 share 22 comparable benchmark results. 0 of 8 categories are comparable. 25 results are unique to Gemini 3.1 Pro; 13 to MiniMax M2.7.

Updated July 23, 2026
Shared results
22
Gemini 3.1 Pro only
25
MiniMax M2.7 only
13
Comparable categories
0 / 8

Benchmark data for Gemini 3.1 Pro and MiniMax M2.7 is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 22 shared benchmark results across 6 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.

Gemini 3.1 Pro is priced at $2.00 input / $12.00 output per 1M tokens, versus $0.30 input / $1.20 output per 1M tokens for MiniMax M2.7. Gemini 3.1 Pro has the larger context window at 1M, compared with 200K for MiniMax M2.7.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for Gemini 3.1 Pro and MiniMax M2.7
CategoryGemini 3.1 ProΔMiniMax M2.7
AgenticGemini 3.1 ProNot measuredMarginNo overlapMiniMax M2.757.0
CodingGemini 3.1 ProNot measuredMarginNo overlapMiniMax M2.753.3
ReasoningGemini 3.1 Pro77.1MarginNo overlapMiniMax M2.7Not measured
MathGemini 3.1 Pro31.8MarginNo overlapMiniMax M2.7Not measured
MultimodalGemini 3.1 Pro82.6MarginNo overlapMiniMax M2.7Not measured

Operational comparison

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

MetricGemini 3.1 ProMiniMax M2.7Comparison
Input / output priceUSD per 1M tokensGemini 3.1 Pro$2 input / $12 outputMiniMax M2.7$0.3 input / $1.2 outputMiniMax M2.7 has the lower combined listed price.
Generation speedtokens per secondGemini 3.1 Pro109 tok/sMiniMax M2.745 tok/sGemini 3.1 Pro has the higher measured throughput.
First-answer latencyseconds to first tokenGemini 3.1 Pro29.71 sMiniMax M2.72.53 sMiniMax M2.7 reaches the first token sooner.
Context windowmaximum listed tokensGemini 3.1 Pro1MMiniMax M2.7200KGemini 3.1 Pro lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGemini 3.1 ProMiniMax M2.7Result
Claw-EvalSource 57.8%48.7%Gemini 3.1 Pro leads
DeepSearchQASource 69.7%—Not comparable
τ²-bench resultsSource 95.6%84.8%Gemini 3.1 Pro leads
AA Agentic IndexSource 21.4%25.6%MiniMax M2.7 leads
APEX-Agents-AASource 32.0%10.6%Gemini 3.1 Pro leads
GDPval-AASource 23.3%32.9%MiniMax M2.7 leads
GDPval-AASource 9651158MiniMax M2.7 leads
Gert LabsSource 56.87%40.40%Gemini 3.1 Pro leads
ResearchClawBenchSource 13.3%—Not comparable
AA AutomationBenchSource 37.5%—Not comparable
AA EnterpriseOps-GymSource 42.2%—Not comparable
AA Harvey LABSource 58.9%—Not comparable
AA ITBenchSource 30.3%—Not comparable
AA Tau3 BankingSource 16.5%—Not comparable
terminalBenchHardSource 53.8%—Not comparable
aaTerminalBench21Source 73.8%—Not comparable
Terminal-Bench 2.0Source —57%Not comparable
ToolathlonSource —46.3%Not comparable
MLE-Bench LiteSource —66.6%Not comparable
MM-ClawBenchSource —62.7%Not comparable
Coding
BenchmarkGemini 3.1 ProMiniMax M2.7Result
LiveCodeBench ProSource 82.9%—Not comparable
React Native EvalsSource 78.9%71.4%Gemini 3.1 Pro leads
Vibe Code BenchSource 32.03%27.04%Gemini 3.1 Pro leads
AA Coding IndexSource 68.8%52.6%Gemini 3.1 Pro leads
AA-SciCodeSource 58.9%47.0%Gemini 3.1 Pro leads
SWE-bench Verified*Source —75.4%Not comparable
SWE-bench ProSource —56.2%Not comparable
SWE-RebenchSource —51.9%Not comparable
SWE MultilingualSource —76.5%Not comparable
Multi-SWE BenchSource —52.7%Not comparable
VIBE-ProSource —55.6%Not comparable
NL2RepoSource —39.8%Not comparable
Reasoning
BenchmarkGemini 3.1 ProMiniMax M2.7Result
ARC-AGI-2Source 77.1%—Not comparable
AA-LCRSource 72.7%68.7%Gemini 3.1 Pro leads
CritPtSource 17.7%0.6%Gemini 3.1 Pro leads
Knowledge
BenchmarkGemini 3.1 ProMiniMax M2.7Result
GPQA-DSource 94.3%87.0%Gemini 3.1 Pro leads
HLE w/o toolsSource 45.4%—Not comparable
HealthBench HardSource 20.6%—Not comparable
MedXpertQA (Text)Source 71.5%—Not comparable
Artificial Analysis Intelligence IndexSource 46.5%38.1%Gemini 3.1 Pro leads
AA-GPQA DiamondSource 94.1%87.4%Gemini 3.1 Pro leads
AA-HLESource 44.7%28.1%Gemini 3.1 Pro leads
AA-Omniscience IndexSource 32.9%0.7%Gemini 3.1 Pro leads
AA-Omniscience AccuracySource 55.3%26.1%Gemini 3.1 Pro leads
AA-Omniscience Hallucination RateSource 49.9%34.4%MiniMax M2.7 leads
MMLU-Pro (Arcee)Source —80.8%Not comparable
Math
BenchmarkGemini 3.1 ProMiniMax M2.7Result
FrontierMath v2 (Tiers 1-3)Source 36.900%—Not comparable
FrontierMath v2 (Tier 4)Source 16.700%—Not comparable
AIME25 (Arcee)Source —80.0%Not comparable
Multilingual
BenchmarkGemini 3.1 ProMiniMax M2.7Result
AA Global-MMLU-LiteSource 93.2%—Not comparable
Multimodal
BenchmarkGemini 3.1 ProMiniMax M2.7Result
MMMU-ProSource 83.9%—Not comparable
CharXivSource 80.2%—Not comparable
ERQASource 69.4%—Not comparable
SimpleVQASource 72.4%—Not comparable
ScreenSpot ProSource 84.4%—Not comparable
ZeroBenchSource 29.0%—Not comparable
MedXpertQA (MM)Source 81.3%—Not comparable
AA-MMMU-ProSource 82.4%—Not comparable
Design Arena WebsiteSource 12811275Gemini 3.1 Pro leads
Inst. Following
BenchmarkGemini 3.1 ProMiniMax M2.7Result
AA-IFBenchSource 77.1%75.7%Gemini 3.1 Pro leads
Frequently Asked Questions (3)

Can I compare Gemini 3.1 Pro and MiniMax M2.7 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 Gemini 3.1 Pro and MiniMax M2.7 today?

Gemini 3.1 Pro: $2.00 input / $12.00 output per 1M tokens MiniMax M2.7: $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.

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Last updated: July 23, 2026

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