LLMversus

Mixtral 8x22B (Fireworks) vs Gemini 2.0 Flash: Pricing, Benchmarks & Verdict (2026)

Pricing verified Aug 3, 2026By LLMversusUpdated August 8, 2026View methodology

⚡ Quick Answer

Compare Mixtral 8x22B (Fireworks) and Gemini 2.0 Flash across pricing, benchmarks, and capabilities.

Updated: August 3, 2026 · ✓ Pricing verified

Side-by-Side Comparison

FeatureMixtral 8x22B (Fireworks)Gemini 2.0 Flash
ProviderFireworks AIGoogle
Input Price / 1M tokens$0.900$0.100
Output Price / 1M tokens$0.900$0.400
Context Window
64K
1.048576M
Max Output Tokens
4,096
8,192
Arena ELO
1,200
1,360
Coding ELO
1,220
1,360
TTFT (ms)
150
120
Tokens/sec
100
160
MultimodalNoYes
JSON ModeYesYes
Function CallingYesYes
VisionNoYes
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 Gemini 2.0 Flash

Gemini 2.0 Flash excels at chatbots, high-volume, cost-sensitive, multimodal tasks.

Strengths:

  • Extremely fast inference
  • 1M context window at very low cost
  • Strong multimodal support
  • Great for real-time applications

Best for:

chatbotshigh-volumecost-sensitivemultimodal

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