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Claude Haiku 4 vs Gemini 2.0 Flash Lite: Pricing, Benchmarks & Verdict (2026)

Pricing verified Apr 20, 2026By LLMversusUpdated June 14, 2026View methodology

⚡ Quick Answer

Gemini 2.0 Flash Lite is significantly cheaper at $0.07/$0.30 per million tokens vs $0.80/$4.00. Claude Haiku 4 is stronger for coding with a coding ELO of 1195 vs 1170. Gemini 2.0 Flash Lite is faster at 180 tokens/sec vs 130 tokens/sec. Claude Haiku 4 ranks higher overall with an Arena ELO of 1220 vs 1200. Gemini 2.0 Flash Lite offers a larger 1049K context window vs 200K.

Updated: April 20, 2026 · ✓ Pricing verified

Side-by-Side Comparison

FeatureClaude Haiku 4Gemini 2.0 Flash Lite
ProviderAnthropicGoogle
Input Price / 1M tokens$1.00$0.075
Output Price / 1M tokens$5.00$0.300
Context Window
200K
1.048576M
Max Output Tokens
8,192
8,192
Arena ELO
1,220
1,200
Coding ELO
1,195
1,170
TTFT (ms)
150
100
Tokens/sec
130
180
MultimodalYesYes
JSON ModeYesYes
Function CallingYesYes
VisionYesYes
When to Use Claude Haiku 4

Choose Claude Haiku 4 when you need: very fast response times, 200k context window, affordable for anthropic quality, good instruction following. It excels at chatbots, classification, cost-sensitive, high-volume tasks.

Strengths:

  • Very fast response times
  • 200K context window
  • Affordable for Anthropic quality
  • Good instruction following

Best for:

chatbotsclassificationcost-sensitivehigh-volume
When to Use Gemini 2.0 Flash Lite

Choose Gemini 2.0 Flash Lite when you need: cheapest google model available, ultra-fast response times, 1m context window, great for simple tasks at scale. It excels at chatbots, classification, high-volume, cost-sensitive tasks. It is also the more cost-effective option between the two. Its 1049K context window is larger, making it better for long-document processing.

Strengths:

  • Cheapest Google model available
  • Ultra-fast response times
  • 1M context window
  • Great for simple tasks at scale

Best for:

chatbotsclassificationhigh-volumecost-sensitive

Frequently Asked Questions

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