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Model comparison

GPT-5.5 vs MiMo-V2.5-Pro

Data verified

Head-to-head evidence from 28 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

GPT-5.5
OpenAI
73.51/100
Margin
3.3pts
← winning
70.19/100
3 category wins0 category wins

Public leaderboard positions: GPT-5.5 #9 (Estimated); MiMo-V2.5-Pro #14 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.5 and MiMo-V2.5-Pro share 28 comparable benchmark results. 3 of 8 categories are comparable. 29 results are unique to GPT-5.5; 3 to MiMo-V2.5-Pro.

Updated July 22, 2026
Shared results
28
GPT-5.5 only
29
MiMo-V2.5-Pro only
3
Comparable categories
3 / 8

Pick GPT-5.5 if you want the stronger benchmark profile. MiMo-V2.5-Pro only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.

Confidence note. This is a partial-evidence comparison with 28 shared benchmark results across 6 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

GPT-5.5 is clearly ahead on the BenchAlign aggregate, 73.51 to 70.19. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

GPT-5.5's sharpest advantage is in agentic, where it averages 81.6 against 68.4. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 82% to 68.4%.

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 GPT-5.5 and MiMo-V2.5-Pro
CategoryGPT-5.5ΔMiMo-V2.5-Pro
AgenticGPT-5.581.6Margin← 13.2MiMo-V2.5-Pro68.4
KnowledgeGPT-5.557.8Margin← 9.8MiMo-V2.5-Pro48.0
CodingGPT-5.558.6Margin← 1.4MiMo-V2.5-Pro57.2
ReasoningGPT-5.585.0MarginNo overlapMiMo-V2.5-ProNot measured
MathGPT-5.547.6MarginNo overlapMiMo-V2.5-ProNot measured
MultimodalGPT-5.570.4MarginNo overlapMiMo-V2.5-ProNot measured

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · GPT-5.5B · MiMo-V2.5-Pro

  1. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 82%B 68.4%
    Winner: GPT-5.5Δ 13.6
    Terminal-Bench 2.0: GPT-5.5 scored 82%; MiMo-V2.5-Pro scored 68.4%. GPT-5.5 wins this benchmark.

  2. HLE

    Knowledge
    Source ↗
    A 52.2%B 48%
    Winner: GPT-5.5Δ 4.2
    HLE: GPT-5.5 scored 52.2%; MiMo-V2.5-Pro scored 48%. GPT-5.5 wins this benchmark.

  3. SWE-bench Pro

    Coding
    Source ↗
    A 58.6%B 57.2%
    Winner: GPT-5.5Δ 1.4
    SWE-bench Pro: GPT-5.5 scored 58.6%; MiMo-V2.5-Pro scored 57.2%. GPT-5.5 wins this benchmark.

Operational comparison

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

MetricGPT-5.5MiMo-V2.5-ProComparison
Input / output priceUSD per 1M tokensGPT-5.5$5 input / $30 outputMiMo-V2.5-ProNot availableA complete price comparison is not available.
Generation speedtokens per secondGPT-5.5Not availableMiMo-V2.5-ProNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGPT-5.5Not availableMiMo-V2.5-ProNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGPT-5.51MMiMo-V2.5-Pro1MListed context windows are equal.

Benchmark Deep Dive

AgenticGPT-5.5 wins
BenchmarkGPT-5.5MiMo-V2.5-ProResult
Terminal-Bench 2.0Source 82%68.4%GPT-5.5 leads
CyberGymSource 81.8%—Not comparable
BrowseCompSource 84.4%—Not comparable
OSWorld-VerifiedSource 78.7%—Not comparable
MCP AtlasSource 75.3%—Not comparable
ToolathlonSource 55.6%—Not comparable
τ²-bench resultsSource 93.9%94.2%MiMo-V2.5-Pro leads
AA Agentic IndexSource 44.9%29.1%GPT-5.5 leads
APEX-Agents-AASource 37.7%2.4%GPT-5.5 leads
GDPval-AASource 49.5%38.3%GPT-5.5 leads
GDPval-AASource 14901265GPT-5.5 leads
Gert LabsSource 72.93%62.70%GPT-5.5 leads
ResearchClawBenchSource 17.0%—Not comparable
OSWorld 2.0Source 13.0%—Not comparable
JobBenchSource 42.7%—Not comparable
ExploitGymSource 13.4%—Not comparable
AA BriefcaseSource 1154873GPT-5.5 leads
AA AutomationBenchSource 42.1%—Not comparable
AA EnterpriseOps-GymSource 46.6%—Not comparable
AA Harvey LABSource 86.3%73.3%GPT-5.5 leads
AA ITBenchSource 45.8%38.2%GPT-5.5 leads
AA Tau3 BankingSource 31.3%—Not comparable
terminalBenchHardSource 60.6%43.2%GPT-5.5 leads
aaTerminalBench21Source 84.3%65.2%GPT-5.5 leads
Claw-EvalSource —63.8%Not comparable
τ³-bench resultsSource —72.9%Not comparable
CodingGPT-5.5 wins
BenchmarkGPT-5.5MiMo-V2.5-ProResult
SWE-bench ProSource 58.6%57.2%GPT-5.5 leads
Terminal-Bench 2.0Source 82.0%68.4%GPT-5.5 leads
Vibe Code BenchSource 69.85%—Not comparable
React Native EvalsSource 84.7%—Not comparable
cursorBench31Source 59.2%—Not comparable
cursorBench32Source 58.4%—Not comparable
AA Coding IndexSource 74.9%60.2%GPT-5.5 leads
AA-SciCodeSource 56.1%50.2%GPT-5.5 leads
FrontierCode 1.1 MainSource 43.0%—Not comparable
Reasoning
BenchmarkGPT-5.5MiMo-V2.5-ProResult
MRCR v2 64K-128KSource 83.1%—Not comparable
MRCR v2 128K-256KSource 87.5%—Not comparable
ARC-AGI-2Source 85%—Not comparable
AA-LCRSource 74.3%73.3%GPT-5.5 leads
CritPtSource 27.1%4.0%GPT-5.5 leads
KnowledgeGPT-5.5 wins
BenchmarkGPT-5.5MiMo-V2.5-ProResult
GPQASource 93.6%—Not comparable
GPQA-DSource 93.6%—Not comparable
HLESource 52.2%48%GPT-5.5 leads
HLE w/o toolsSource 41.4%34%GPT-5.5 leads
Artificial Analysis Intelligence IndexSource 54.8%42.2%GPT-5.5 leads
AA-GPQA DiamondSource 93.5%86.6%GPT-5.5 leads
AA-HLESource 44.3%33.8%GPT-5.5 leads
AA-Omniscience IndexSource 20.1%3.6%GPT-5.5 leads
AA-Omniscience AccuracySource 56.9%22.6%GPT-5.5 leads
AA-Omniscience Hallucination RateSource 85.5%24.5%MiMo-V2.5-Pro leads
AA Openness IndexSource —38.9%Not comparable
Math
BenchmarkGPT-5.5MiMo-V2.5-ProResult
FrontierMath (legacy)Source 51.7%—Not comparable
FrontierMath v2 (Tiers 1-3)Source 51.700%—Not comparable
FrontierMath v2 (Tier 4)Source 35.400%—Not comparable
Multimodal
BenchmarkGPT-5.5MiMo-V2.5-ProResult
MMMU-ProSource 81.2%—Not comparable
MMMU-Pro w/ PythonSource 83.2%—Not comparable
OfficeQA ProSource 54.1%—Not comparable
AA-MMMU-ProSource 79.9%—Not comparable
Design Arena WebsiteSource 12821298MiMo-V2.5-Pro leads
Inst. Following
BenchmarkGPT-5.5MiMo-V2.5-ProResult
AA-IFBenchSource 75.9%79.9%MiMo-V2.5-Pro leads
Frequently Asked Questions (4)

Which is better, GPT-5.5 or MiMo-V2.5-Pro?

GPT-5.5 is ahead on BenchLM's BenchAlign leaderboard, 73.51 to 70.19. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 82% and 68.4%.

Which is better for knowledge tasks, GPT-5.5 or MiMo-V2.5-Pro?

GPT-5.5 has the edge for knowledge tasks in this comparison, averaging 57.8 versus 48. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.

Which is better for coding, GPT-5.5 or MiMo-V2.5-Pro?

GPT-5.5 has the edge for coding in this comparison, averaging 58.6 versus 57.2. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.

Which is better for agentic tasks, GPT-5.5 or MiMo-V2.5-Pro?

GPT-5.5 has the edge for agentic tasks in this comparison, averaging 81.6 versus 68.4. Inside this category, AA Briefcase is the benchmark that creates the most daylight between them.

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