← Back to Model Hub/SIDE-BY-SIDE REVIEW
SHARE THIS:

Claude 3.5 Haiku vs GPT-5.5

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 3.5 Haiku and GPT-5.5.

Anthropic

Claude 3.5 Haiku

Claude 3.5 Haiku is the fast, cost-efficient member of the Claude 3.5 model family from Anthropic, built to deliver strong performance for coding, text processing, and multi-turn conversation at minimal inference cost. With a 200,000-token context window and pricing at $0.80/MTok for input, it is optimized for high-throughput, latency-sensitive production applications such as real-time chat interfaces, code completion tools, and classification systems. While smaller than its Sonnet and Opus siblings, Claude 3.5 Haiku retains Anthropic's strong alignment and safety properties, making it a reliable choice for consumer-facing AI features.

View Full Specs
OpenAI

GPT-5.5

GPT-5.5 is OpenAI’s frontier model designed for complex professional workloads, building on GPT-5.4 with stronger reasoning, higher reliability, and improved token efficiency on hard tasks. It features a 1M+ token...

View Full Specs

Technical Specifications

SpecificationClaude 3.5 HaikuGPT-5.5
ProviderAnthropicOpenAI
Context Window200,000 tokens1,050,000 tokens
Agent SuitabilityN/A95/100
Time to First Token (TTFT)N/A380 ms
Deployment ModelN/Amanaged api
Production Stabilitystablestable
API AvailableYesYes
Released Date2024-11-042026-04-24

API Pricing Comparison

Input Price per Million Tokens

Claude 3.5 Haiku

$0.80

GPT-5.5

$5.00

Output Price per Million Tokens

Claude 3.5 Haiku

$4.00

GPT-5.5

$30.00

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%vs9420.0%
Claude 3.5 Haiku
GPT-5.5
HumanEvalPython coding & logic synthesis
8810.0%vs9680.0%
Claude 3.5 Haiku
GPT-5.5
MATHComplex mathematical problem solving
5160.0%vs9350.0%
Claude 3.5 Haiku
GPT-5.5
GPQAGraduate-level expert reasoning
4150.0%vs8420.0%
Claude 3.5 Haiku
GPT-5.5
HellaSwagCommonsense reasoning and inference
8920.0%vs9900.0%
Claude 3.5 Haiku
GPT-5.5
MT-BenchMulti-turn conversation flow quality
850.0%vs970.0%
Claude 3.5 Haiku
GPT-5.5

Claude 3.5 Haiku Quirks & Gotchas

No developer gotchas reported.

GPT-5.5 Quirks & Gotchas

  • Best for JSON schema adherence — strict mode available via response_format parameter
  • Requires explicit tool_choice for deterministic function calling