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Model comparison

GPT-4o mini vs MiMo-V2-Flash

Data verified

Head-to-head evidence from 9 shared benchmark results across 4 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

37.14/100
Margin
16.1pts
winning →
53.21/100
0 category wins0 category wins

Public leaderboard positions: GPT-4o mini #192 (Supported); MiMo-V2-Flash #96 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-4o mini and MiMo-V2-Flash share 9 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to GPT-4o mini; 10 to MiMo-V2-Flash.

Updated July 24, 2026
Shared results
9
GPT-4o mini only
1
MiMo-V2-Flash only
10
Comparable categories
0 / 8

Benchmark data for GPT-4o mini and MiMo-V2-Flash is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 9 shared benchmark results across 4 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-4o mini is priced at $0.15 input / $0.60 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for MiMo-V2-Flash. MiMo-V2-Flash has the larger context window at 256K, compared with 128K for GPT-4o mini.

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-4o mini and MiMo-V2-Flash
CategoryGPT-4o miniΔMiMo-V2-Flash
CodingGPT-4o miniNot measuredMarginNo overlapMiMo-V2-Flash73.4
KnowledgeGPT-4o miniNot measuredMarginNo overlapMiMo-V2-Flash84.7

Operational comparison

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

MetricGPT-4o miniMiMo-V2-FlashComparison
Input / output priceUSD per 1M tokensGPT-4o mini$0.15 input / $0.6 outputMiMo-V2-Flash$0 input / $0 outputMiMo-V2-Flash has the lower combined listed price.
Generation speedtokens per secondGPT-4o mini33 tok/sMiMo-V2-Flash129 tok/sMiMo-V2-Flash has the higher measured throughput.
First-answer latencyseconds to first tokenGPT-4o mini3.16 sMiMo-V2-Flash2.14 sMiMo-V2-Flash reaches the first token sooner.
Context windowmaximum listed tokensGPT-4o mini128KMiMo-V2-Flash256KMiMo-V2-Flash lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-4o miniMiMo-V2-FlashResult
AA Agentic IndexSource 1.0%12.0%MiMo-V2-Flash leads
GDPval-AASource 0.0%16.9%MiMo-V2-Flash leads
GDPval-AASource 241838MiMo-V2-Flash leads
τ²-bench resultsSource 83.9%Not comparable
Coding
BenchmarkGPT-4o miniMiMo-V2-FlashResult
AA-SciCodeSource 22.9%25.9%MiMo-V2-Flash leads
AA Coding IndexSource 11.4%49.8%MiMo-V2-Flash leads
SWE-bench VerifiedSource 73.4%Not comparable
Reasoning
BenchmarkGPT-4o miniMiMo-V2-FlashResult
AA-LCRSource 31.3%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkGPT-4o miniMiMo-V2-FlashResult
Artificial Analysis Intelligence IndexSource 6.9%24.7%MiMo-V2-Flash leads
AA-GPQA DiamondSource 42.6%65.6%MiMo-V2-Flash leads
AA-HLESource 4.0%8.0%MiMo-V2-Flash leads
GPQASource 83.7%Not comparable
MMLU-ProSource 84.9%Not comparable
AA-Omniscience IndexSource -48.5%Not comparable
AA-Omniscience AccuracySource 15.2%Not comparable
AA-Omniscience Hallucination RateSource 75.1%Not comparable
Math
BenchmarkGPT-4o miniMiMo-V2-FlashResult
AIME 2025Source 94.1%Not comparable
Multimodal
BenchmarkGPT-4o miniMiMo-V2-FlashResult
AA-MMMU-ProSource 41.5%Not comparable
Inst. Following
BenchmarkGPT-4o miniMiMo-V2-FlashResult
AA-IFBenchSource 31.0%39.9%MiMo-V2-Flash leads
Frequently Asked Questions (3)

Can I compare GPT-4o mini and MiMo-V2-Flash 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-4o mini and MiMo-V2-Flash today?

GPT-4o mini: $0.15 input / $0.60 output per 1M tokens MiMo-V2-Flash: $0.00 input / $0.00 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 24, 2026