whichllmmodel
Back to Dashboard
Meta

Llama-3.1 405B

VS
Mistral AI

Mixtral 8x7B v0.1

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

Decision Recommendation

👑 Editorial Verdict: Llama-3.1 405B strictly dominates Mixtral 8x7B v0.1 across all major dimensions. It is not only more cost-effective (blended cost of $0.00 vs $0.00 per 1M tokens) but also delivers superior coding accuracy (0% vs 0% on SWE-bench) and faster generation speeds (193 tps vs 140 tps). Unless you have platform lock-in, Llama-3.1 405B is the clear and optimal choice for all development workloads.

Model Specs

Llama-3.1 405B

Benchmarks & Scores

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

Cost & Performance

Cost (per 1M tokens)
N/AInput: N/A | Output: N/A
Speed1.4x faster
193 tps
Context WindowLarger
131.07k tokens
Model Specs

Mixtral 8x7B v0.1

Benchmarks & Scores

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

Cost & Performance

Cost (per 1M tokens)
N/AInput: N/A | Output: N/A
Speed
140 tps
Context Window
32k tokens
Read our data collection methodology

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 Mixtral 8x7B v0.1. Llama-3.1 405B generates 193 tokens per second (tps) compared to Mixtral 8x7B v0.1 which generates 140 tokens per second.

Coding benchmark scores are not currently recorded for these models.

Want to customize weights or add more models?

Open our interactive dashboard where you can adjust your priority levels for speed, budget, or accuracy slider-bars and watch model rankings calculate dynamically.

Customize in Interactive Dashboard