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Model comparison

Llama 3.1 405B vs o1

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.

50.94/100
Margin
3.8pts
← winning
OpenAI
47.14/100
0 category wins0 category wins

Public leaderboard positions: Llama 3.1 405B #107 (Estimated); o1 #136 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Llama 3.1 405B and o1 share 11 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Llama 3.1 405B; 5 to o1.

Updated July 24, 2026
Shared results
11
Llama 3.1 405B only
0
o1 only
5
Comparable categories
0 / 8

Benchmark data for Llama 3.1 405B and o1 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.

o1 is priced at $15.00 input / $60.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Llama 3.1 405B. o1 has the larger context window at 200K, 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 o1
CategoryLlama 3.1 405BΔo1
KnowledgeLlama 3.1 405BNot measuredMarginNo overlapo175.7
MathLlama 3.1 405BNot measuredMarginNo overlapo19.3
Inst. FollowingLlama 3.1 405BNot measuredMarginNo overlapo192.2

Operational comparison

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

MetricLlama 3.1 405Bo1Comparison
Input / output priceUSD per 1M tokensLlama 3.1 405B$0 input / $0 outputo1$15 input / $60 outputLlama 3.1 405B has the lower combined listed price.
Generation speedtokens per secondLlama 3.1 405B29 tok/so198 tok/so1 has the higher measured throughput.
First-answer latencyseconds to first tokenLlama 3.1 405B2.19 so132.29 sLlama 3.1 405B reaches the first token sooner.
Context windowmaximum listed tokensLlama 3.1 405B128Ko1200Ko1 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkLlama 3.1 405Bo1Result
τ²-bench resultsSource 19%62.6%o1 leads
Coding
BenchmarkLlama 3.1 405Bo1Result
AA-SciCodeSource 29.9%35.8%o1 leads
AA Coding IndexSource 39.7%Not comparable
Reasoning
BenchmarkLlama 3.1 405Bo1Result
AA-LCRSource 24.3%59.3%o1 leads
CritPtSource 0.0%0.3%o1 leads
Knowledge
BenchmarkLlama 3.1 405Bo1Result
Artificial Analysis Intelligence IndexSource 8.5%23.4%o1 leads
AA-GPQA DiamondSource 51.5%74.7%o1 leads
AA-HLESource 4.2%7.7%o1 leads
AA-Omniscience IndexSource -17.3%-10.5%o1 leads
AA-Omniscience AccuracySource 22.3%34.7%o1 leads
AA-Omniscience Hallucination RateSource 51.0%69.3%Llama 3.1 405B leads
MMLUSource 91.8%Not comparable
GPQASource 75.7%Not comparable
Math
BenchmarkLlama 3.1 405Bo1Result
FrontierMath v2 (Tiers 1-3)Source 9.310%Not comparable
Inst. Following
BenchmarkLlama 3.1 405Bo1Result
AA-IFBenchSource 39.0%70.3%o1 leads
IFEvalSource 92.2%Not comparable
Frequently Asked Questions (3)

Can I compare Llama 3.1 405B and o1 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 o1 today?

Llama 3.1 405B: $0.00 input / $0.00 output per 1M tokens o1: $15.00 input / $60.00 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