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Model comparison

GPT-OSS 20B vs MiMo-V2-Flash

Data verified

Head-to-head evidence from 15 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

42.74/100
Margin
11.3pts
winning →
54.06/100
0 category wins0 category wins

Public leaderboard positions: GPT-OSS 20B #159 (Supported); MiMo-V2-Flash #91 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-OSS 20B and MiMo-V2-Flash share 15 comparable benchmark results. 0 of 8 categories are comparable. 3 results are unique to GPT-OSS 20B; 4 to MiMo-V2-Flash.

Updated July 20, 2026
Shared results
15
GPT-OSS 20B only
3
MiMo-V2-Flash only
4
Comparable categories
0 / 8

Benchmark data for GPT-OSS 20B and MiMo-V2-Flash is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 15 shared benchmark results across 5 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.

MiMo-V2-Flash has the larger context window at 256K, compared with 128K for GPT-OSS 20B.

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-OSS 20B and MiMo-V2-Flash
CategoryGPT-OSS 20BΔMiMo-V2-Flash
CodingGPT-OSS 20BNot measuredMarginNo overlapMiMo-V2-Flash73.4
KnowledgeGPT-OSS 20BNot measuredMarginNo overlapMiMo-V2-Flash84.7

Operational comparison

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

MetricGPT-OSS 20BMiMo-V2-FlashComparison
Input / output priceUSD per 1M tokensGPT-OSS 20B$0 input / $0 outputMiMo-V2-Flash$0 input / $0 outputListed prices are equal.
Generation speedtokens per secondGPT-OSS 20B313 tok/sMiMo-V2-Flash129 tok/sGPT-OSS 20B has the higher measured throughput.
First-answer latencyseconds to first tokenGPT-OSS 20B0.65 sMiMo-V2-Flash2.14 sGPT-OSS 20B reaches the first token sooner.
Context windowmaximum listed tokensGPT-OSS 20B128KMiMo-V2-Flash256KMiMo-V2-Flash lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-OSS 20BMiMo-V2-FlashResult
AA Agentic IndexSource 3.1%12.0%MiMo-V2-Flash leads
APEX-Agents-AASource 0.7%—Not comparable
τ²-bench resultsSource 60.2%83.9%MiMo-V2-Flash leads
GDPval-AASource 3.0%16.7%MiMo-V2-Flash leads
GDPval-AASource 559833MiMo-V2-Flash leads
Coding
BenchmarkGPT-OSS 20BMiMo-V2-FlashResult
React Native EvalsSource 71%—Not comparable
AA Coding IndexSource 20.7%49.8%MiMo-V2-Flash leads
AA-SciCodeSource 34.4%25.9%GPT-OSS 20B leads
SWE-bench VerifiedSource —73.4%Not comparable
Reasoning
BenchmarkGPT-OSS 20BMiMo-V2-FlashResult
AA-LCRSource 30.7%31.3%MiMo-V2-Flash leads
CritPtSource 1.4%0.0%GPT-OSS 20B leads
Knowledge
BenchmarkGPT-OSS 20BMiMo-V2-FlashResult
Artificial Analysis Intelligence IndexSource 14.9%24.7%MiMo-V2-Flash leads
AA-GPQA DiamondSource 68.8%65.6%GPT-OSS 20B leads
AA-HLESource 9.8%8.0%GPT-OSS 20B leads
AA-Omniscience IndexSource -63.9%-48.5%MiMo-V2-Flash leads
AA-Omniscience AccuracySource 15.5%15.2%GPT-OSS 20B leads
AA-Omniscience Hallucination RateSource 94.1%75.1%MiMo-V2-Flash leads
GPQASource —83.7%Not comparable
MMLU-ProSource —84.9%Not comparable
Math
BenchmarkGPT-OSS 20BMiMo-V2-FlashResult
AIME 2025Source —94.1%Not comparable
Multimodal
BenchmarkGPT-OSS 20BMiMo-V2-FlashResult
Design Arena WebsiteSource 885—Not comparable
Inst. Following
BenchmarkGPT-OSS 20BMiMo-V2-FlashResult
AA-IFBenchSource 65.1%39.9%GPT-OSS 20B leads
Frequently Asked Questions (3)

Can I compare GPT-OSS 20B 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-OSS 20B and MiMo-V2-Flash today?

GPT-OSS 20B: $0.00 input / $0.00 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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