LLMversus

Llama 3.1 405B (Fireworks) vs Phi-4: Pricing, Benchmarks & Verdict (2026)

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

⚡ Quick Answer

Compare Llama 3.1 405B (Fireworks) and Phi-4 across pricing, benchmarks, and capabilities.

Updated: September 14, 2026 · ✓ Pricing verified

Side-by-Side Comparison

FeatureLlama 3.1 405B (Fireworks)Phi-4
ProviderFireworks AIMicrosoft
Input Price / 1M tokens$3.00$0.070
Output Price / 1M tokens$3.00$0.140
Context Window
131.072K
16.384K
Max Output Tokens
4,096
4,096
Arena ELO
1,240
1,150
Coding ELO
1,200
1,130
TTFT (ms)
150
100
Tokens/sec
100
160
MultimodalNoNo
JSON ModeYesYes
Function CallingYesNo
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 Phi-4

Phi-4 excels at cost-sensitive, edge-deployment, math, lightweight-tasks tasks.

Strengths:

  • Ultra-low cost for a capable model
  • Strong math for its size (14B params)
  • Very fast inference
  • Can run on consumer hardware

Best for:

cost-sensitiveedge-deploymentmathlightweight-tasks

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