LLMversus

Llama 3.1 405B (Fireworks) vs Mixtral 8x7B (Groq): Pricing, Benchmarks & Verdict (2026)

Pricing verified Sep 14, 2026By LLMversusUpdated September 17, 2026View methodology

⚡ Quick Answer

Compare Llama 3.1 405B (Fireworks) and Mixtral 8x7B (Groq) across pricing, benchmarks, and capabilities.

Updated: September 14, 2026 · ✓ Pricing verified

Side-by-Side Comparison

FeatureLlama 3.1 405B (Fireworks)Mixtral 8x7B (Groq)
ProviderFireworks AIGroq
Input Price / 1M tokens$3.00$0.240
Output Price / 1M tokens$3.00$0.240
Context Window
131.072K
32K
Max Output Tokens
4,096
4,096
Arena ELO
1,240
1,160
Coding ELO
1,200
1,150
TTFT (ms)
150
150
Tokens/sec
100
100
MultimodalNoNo
JSON ModeYesYes
Function CallingYesYes
VisionNoNo
When to Use Llama 3.1 405B (Fireworks)

Llama 3.1 405B (Fireworks) excels at general-purpose, reasoning tasks.

Strengths:

  • Largest model
  • High quality
  • Large context

Best for:

general-purposereasoning
When to Use Mixtral 8x7B (Groq)

Mixtral 8x7B (Groq) excels at fast-inference, coding tasks.

Strengths:

  • Very fast
  • Mixture of experts
  • Good balance

Best for:

fast-inferencecoding

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