โ† Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Claude 3 Haiku vs Claude Opus 4.7

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 3 Haiku and Claude Opus 4.7.

Anthropic

Claude 3 Haiku

Claude 3 Haiku is Anthropic's fastest and most compact model for near-instant responsiveness. Quick and accurate targeted performance. See the launch announcement and benchmark results [here](https://www.anthropic.com/news/claude-3-haiku) #multimodal

View Full Specs
Anthropic

Claude Opus 4.7

Opus 4.7 is the next generation of Anthropic's Opus family, built for long-running, asynchronous agents. Building on the coding and agentic strengths of Opus 4.6, it delivers stronger performance on...

View Full Specs

Technical Specifications

SpecificationClaude 3 HaikuClaude Opus 4.7
ProviderAnthropicAnthropic
Context Window200,000 tokens1,000,000 tokens
Agent SuitabilityN/A96/100
Time to First Token (TTFT)N/A480 ms
Deployment Modelmanaged apimanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-03-132026-04-16

API Pricing Comparison

Input Price per Million Tokens

Claude 3 Haiku

$0.25

Claude Opus 4.7

$5.00

Output Price per Million Tokens

Claude 3 Haiku

$1.25

Claude Opus 4.7

$25.00

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
7520.0%vs9410.0%
Claude 3 Haiku
Claude Opus 4.7
HumanEvalPython coding & logic synthesis
7590.0%vs9610.0%
Claude 3 Haiku
Claude Opus 4.7
MATHComplex mathematical problem solving
3890.0%vs9150.0%
Claude 3 Haiku
Claude Opus 4.7
GPQAGraduate-level expert reasoning
3200.0%vs8420.0%
Claude 3 Haiku
Claude Opus 4.7
HellaSwagCommonsense reasoning and inference
8810.0%vs9880.0%
Claude 3 Haiku
Claude Opus 4.7
MT-BenchMulti-turn conversation flow quality
800.0%vs975.0%
Claude 3 Haiku
Claude Opus 4.7

Claude 3 Haiku Quirks & Gotchas

No developer gotchas reported.

Claude Opus 4.7 Quirks & Gotchas

  • โ–ธTop-tier agentic coding model โ€” excels at autonomous software engineering
  • โ–ธRequires explicit tool_choice parameter for parallel function calling to work reliably