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Model comparison

Llama 3.1 405B vs MiMo-V2-Flash

Data verified

Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

51.71/100
Margin
2.4pts
winning →
54.06/100
0 category wins0 category wins

Public leaderboard positions: Llama 3.1 405B #102 (Estimated); MiMo-V2-Flash #91 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Llama 3.1 405B and MiMo-V2-Flash share 11 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Llama 3.1 405B; 8 to MiMo-V2-Flash.

Updated July 20, 2026
Shared results
11
Llama 3.1 405B only
0
MiMo-V2-Flash only
8
Comparable categories
0 / 8

Benchmark data for Llama 3.1 405B and MiMo-V2-Flash is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 11 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 Llama 3.1 405B.

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 Llama 3.1 405B and MiMo-V2-Flash
CategoryLlama 3.1 405BΔMiMo-V2-Flash
CodingLlama 3.1 405BNot measuredMarginNo overlapMiMo-V2-Flash73.4
KnowledgeLlama 3.1 405BNot measuredMarginNo overlapMiMo-V2-Flash84.7

Operational comparison

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

MetricLlama 3.1 405BMiMo-V2-FlashComparison
Input / output priceUSD per 1M tokensLlama 3.1 405B$0 input / $0 outputMiMo-V2-Flash$0 input / $0 outputListed prices are equal.
Generation speedtokens per secondLlama 3.1 405B29 tok/sMiMo-V2-Flash129 tok/sMiMo-V2-Flash has the higher measured throughput.
First-answer latencyseconds to first tokenLlama 3.1 405B2.19 sMiMo-V2-Flash2.14 sMiMo-V2-Flash reaches the first token sooner.
Context windowmaximum listed tokensLlama 3.1 405B128KMiMo-V2-Flash256KMiMo-V2-Flash lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkLlama 3.1 405BMiMo-V2-FlashResult
τ²-bench resultsSource 19%83.9%MiMo-V2-Flash leads
AA Agentic IndexSource 12.0%Not comparable
GDPval-AASource 16.7%Not comparable
GDPval-AASource 833Not comparable
Coding
BenchmarkLlama 3.1 405BMiMo-V2-FlashResult
AA-SciCodeSource 29.9%25.9%Llama 3.1 405B leads
SWE-bench VerifiedSource 73.4%Not comparable
AA Coding IndexSource 49.8%Not comparable
Reasoning
BenchmarkLlama 3.1 405BMiMo-V2-FlashResult
AA-LCRSource 24.3%31.3%MiMo-V2-Flash leads
CritPtSource 0.0%0.0%Tie
Knowledge
BenchmarkLlama 3.1 405BMiMo-V2-FlashResult
Artificial Analysis Intelligence IndexSource 8.5%24.7%MiMo-V2-Flash leads
AA-GPQA DiamondSource 51.5%65.6%MiMo-V2-Flash leads
AA-HLESource 4.2%8.0%MiMo-V2-Flash leads
AA-Omniscience IndexSource -17.3%-48.5%Llama 3.1 405B leads
AA-Omniscience AccuracySource 22.3%15.2%Llama 3.1 405B leads
AA-Omniscience Hallucination RateSource 51.0%75.1%Llama 3.1 405B leads
GPQASource 83.7%Not comparable
MMLU-ProSource 84.9%Not comparable
Math
BenchmarkLlama 3.1 405BMiMo-V2-FlashResult
AIME 2025Source 94.1%Not comparable
Inst. Following
BenchmarkLlama 3.1 405BMiMo-V2-FlashResult
AA-IFBenchSource 39.0%39.9%MiMo-V2-Flash leads
Frequently Asked Questions (3)

Can I compare Llama 3.1 405B 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 Llama 3.1 405B and MiMo-V2-Flash today?

Llama 3.1 405B: $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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Last updated: July 20, 2026

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