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Model comparison

GPT-5.3 Codex vs Llama 3.1 405B

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.

66.69/100
Margin
15.0pts
← winning
51.71/100
0 category wins0 category wins

Public leaderboard positions: GPT-5.3 Codex #26 (Supported); Llama 3.1 405B #102 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. GPT-5.3 Codex and Llama 3.1 405B share 11 comparable benchmark results. 0 of 8 categories are comparable. 10 results are unique to GPT-5.3 Codex; 0 to Llama 3.1 405B.

Updated July 20, 2026
Shared results
11
GPT-5.3 Codex only
10
Llama 3.1 405B only
0
Comparable categories
0 / 8

Benchmark data for GPT-5.3 Codex and Llama 3.1 405B 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.

GPT-5.3 Codex is priced at $1.75 input / $14.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Llama 3.1 405B. GPT-5.3 Codex has the larger context window at 400K, 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 GPT-5.3 Codex and Llama 3.1 405B
CategoryGPT-5.3 CodexΔLlama 3.1 405B
AgenticGPT-5.3 Codex71.4MarginNo overlapLlama 3.1 405BNot measured
CodingGPT-5.3 Codex67.2MarginNo overlapLlama 3.1 405BNot measured

Operational comparison

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

MetricGPT-5.3 CodexLlama 3.1 405BComparison
Input / output priceUSD per 1M tokensGPT-5.3 Codex$1.75 input / $14 outputLlama 3.1 405B$0 input / $0 outputLlama 3.1 405B has the lower combined listed price.
Generation speedtokens per secondGPT-5.3 Codex79 tok/sLlama 3.1 405B29 tok/sGPT-5.3 Codex has the higher measured throughput.
First-answer latencyseconds to first tokenGPT-5.3 Codex88.26 sLlama 3.1 405B2.19 sLlama 3.1 405B reaches the first token sooner.
Context windowmaximum listed tokensGPT-5.3 Codex400KLlama 3.1 405B128KGPT-5.3 Codex lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkGPT-5.3 CodexLlama 3.1 405BResult
Terminal-Bench 2.0Source 77.3%Not comparable
OSWorld-VerifiedSource 64.7%Not comparable
τ²-bench resultsSource 86%19%GPT-5.3 Codex leads
Gert LabsSource 57.47%Not comparable
JobBenchSource 33.7%Not comparable
Coding
BenchmarkGPT-5.3 CodexLlama 3.1 405BResult
SWE-bench VerifiedSource 85%Not comparable
SWE-bench ProSource 56.8%Not comparable
SWE-RebenchSource 58.2%Not comparable
Vibe Code BenchSource 61.77%Not comparable
AA-SciCodeSource 53.2%29.9%GPT-5.3 Codex leads
Reasoning
BenchmarkGPT-5.3 CodexLlama 3.1 405BResult
AA-LCRSource 74.0%24.3%GPT-5.3 Codex leads
CritPtSource 16.9%0.0%GPT-5.3 Codex leads
Knowledge
BenchmarkGPT-5.3 CodexLlama 3.1 405BResult
Artificial Analysis Intelligence IndexSource 44.3%8.5%GPT-5.3 Codex leads
AA-GPQA DiamondSource 91.5%51.5%GPT-5.3 Codex leads
AA-HLESource 39.9%4.2%GPT-5.3 Codex leads
AA-Omniscience IndexSource 9.9%-17.3%GPT-5.3 Codex leads
AA-Omniscience AccuracySource 51.8%22.3%GPT-5.3 Codex leads
AA-Omniscience Hallucination RateSource 86.9%51.0%Llama 3.1 405B leads
Multimodal
BenchmarkGPT-5.3 CodexLlama 3.1 405BResult
AA-MMMU-ProSource 78.5%Not comparable
Design Arena WebsiteSource 1195Not comparable
Inst. Following
BenchmarkGPT-5.3 CodexLlama 3.1 405BResult
AA-IFBenchSource 75.4%39.0%GPT-5.3 Codex leads
Frequently Asked Questions (3)

Can I compare GPT-5.3 Codex and Llama 3.1 405B 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-5.3 Codex and Llama 3.1 405B today?

GPT-5.3 Codex: $1.75 input / $14.00 output per 1M tokens Llama 3.1 405B: $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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