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Mixtral 8x22B (Fireworks) vs GPT-4 1.5-nano: Pricing, Benchmarks & Verdict (2026)

Pricing verified Apr 8, 2026

⚡ Quick Answer

Compare Mixtral 8x22B (Fireworks) and GPT-4 1.5-nano across pricing, benchmarks, and capabilities.

Updated: April 8, 2026 · ✓ Pricing verified

Side-by-Side Comparison

FeatureMixtral 8x22B (Fireworks)GPT-4 1.5-nano
ProviderFireworks AIOpenAI
Input Price / 1M tokens$0.900$0.075
Output Price / 1M tokens$0.900$0.300
Context Window
64K
128K
Max Output Tokens
4,096
4,096
Arena ELO
1,200
1,150
Coding ELO
1,220
1,160
TTFT (ms)
150
120
Tokens/sec
100
150
MultimodalNoNo
JSON ModeYesYes
Function CallingYesYes
VisionNoNo
When to Use Mixtral 8x22B (Fireworks)

Mixtral 8x22B (Fireworks) excels at coding, general-purpose tasks.

Strengths:

  • Mixture of experts
  • Good coding
  • Competitive pricing

Best for:

codinggeneral-purpose
When to Use GPT-4 1.5-nano

GPT-4 1.5-nano excels at cost-effective, fast-inference tasks.

Strengths:

  • Super cheap
  • Very fast
  • Large context

Best for:

cost-effectivefast-inference

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