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Claude Haiku 4.5 vs Gemini 3.1 Flash

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for Claude Haiku 4.5 and Gemini 3.1 Flash.

Anthropic

Claude Haiku 4.5

Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...

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Google

Gemini 3.1 Flash

Gemini 3.1 Flash is Google's high-speed, cost-efficient multimodal model in the 3.1 generation, purpose-built for high-volume content synthesis, classification, and intelligent routing at scale. Featuring a 1-million-token context window, it can process large batches of documents, customer data, or multimedia content in a single inference pass, dramatically reducing pipeline complexity. At just $0.25/MTok for input, it is one of the most affordable routes to Google-caliber multimodal AI, making it an ideal backbone for production pipelines, data enrichment workflows, and high-frequency API integrations.

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Technical Specifications

SpecificationClaude Haiku 4.5Gemini 3.1 Flash
ProviderAnthropicGoogle
Context Window200,000 tokens1,000,000 tokens
Agent Suitability87/10086/100
Time to First Token (TTFT)180 ms150 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2025-10-152026-04-20

API Pricing Comparison

Input Price per Million Tokens

Claude Haiku 4.5

$1.00

Gemini 3.1 Flash

$0.25

Output Price per Million Tokens

Claude Haiku 4.5

$5.00

Gemini 3.1 Flash

$1.50

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
8480.0%vs8680.0%
Claude Haiku 4.5
Gemini 3.1 Flash
HumanEvalPython coding & logic synthesis
8600.0%vs8850.0%
Claude Haiku 4.5
Gemini 3.1 Flash
MATHComplex mathematical problem solving
7500.0%vs7820.0%
Claude Haiku 4.5
Gemini 3.1 Flash
GPQAGraduate-level expert reasoning
5500.0%vs6050.0%
Claude Haiku 4.5
Gemini 3.1 Flash
HellaSwagCommonsense reasoning and inference
9350.0%vs9520.0%
Claude Haiku 4.5
Gemini 3.1 Flash
MT-BenchMulti-turn conversation flow quality
890.0%vs900.0%
Claude Haiku 4.5
Gemini 3.1 Flash

Claude Haiku 4.5 Quirks & Gotchas

  • Fastest TTFT in the Claude lineup — ideal for real-time chat
  • Tool calling limited compared to Sonnet — best for simple classification and routing

Gemini 3.1 Flash Quirks & Gotchas

  • Most cost-effective Google model — ideal for high-volume pipelines
  • Context caching available via Vertex AI for repeated document processing