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Llama-3.1 405B

VS
OpenAI

GPT-5 mini

✍️ Analysis by:the whichllmmodel Editorial Team|📅 Updated: June 2026

Decision Recommendation

⚖️ Editorial Verdict: In our analysis, GPT-5 mini is the premium intelligence choice, scoring 45.7% higher on coding benchmarks. However, this accuracy premium comes with a cost overhead: Llama-3.1 405B is 1.0x cheaper to run and delivers 2.2x faster throughput. If you are building high-volume, simple chatbots or processing massive amounts of text where budget is critical, Llama-3.1 405B offers excellent cost savings. For agentic reasoning, code refactoring, or complex logical tasks, the accuracy premium of GPT-5 mini fully justifies the cost.

Model Specs

Llama-3.1 405B

Benchmarks & Scores

Coding (swe-bench-pro)
N/A
Reasoning (gpqa-diamond)
50.7%

Cost & Performance

Cost (per 1M tokens)
N/AInput: N/A | Output: N/A
Speed2.2x faster
193 tps
Context Window
131.07k tokens
Model Specs

GPT-5 mini

Benchmarks & Scores

Coding (swe-bench-pro)Winner (+)
45.7%
Reasoning (gpqa-diamond)Winner (+30.9%)
81.6%

Cost & Performance

Cost (per 1M tokens)
$0.69Input: $0.25 | Output: $2.00
Speed
86 tps
Context WindowLarger
400k tokens

Frequently Asked Questions

Pricing data is currently unavailable for one or both of these models, so a direct cost comparison cannot be determined.

Llama-3.1 405B is faster than GPT-5 mini. Llama-3.1 405B generates 193 tokens per second (tps) compared to GPT-5 mini which generates 86 tokens per second.

GPT-5 mini is better for coding tasks. It scores 45.7% on coding evaluations (swe-bench-pro) compared to Llama-3.1 405B which scores N/A.

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