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Direct Head-to-Head Benchmark

Claude 3.5 Haiku vs GPT-4o mini API Pricing & Speed Benchmark (2026)

Compare Anthropic Claude 3.5 Haiku ($0.80/$4.00) vs OpenAI GPT-4o mini ($0.15/$0.60): coding IQ (SWE-bench), agentic tool calling, latency, and prompt caching economics.

Candidate A

Claude 3.5 Haiku

$0.80 in / $4.00 out
Per 1M Tokens
VS
Candidate B

OpenAI GPT-4o mini

$0.15 in / $0.60 out
Per 1M Tokens

Head-to-Head Monthly Cost Simulator

Simulate real workload expenditures for Claude 3.5 Haiku vs OpenAI GPT-4o mini at your expected token volume.

Monthly Input Tokens: 50,000,000
Monthly Output Tokens: 10,000,000
Claude 3.5 Haiku: $0.00
OpenAI GPT-4o mini: $0.00
Difference: $0.00

Comprehensive Technical & Financial Breakdown

Side-by-side audit of pricing tiers, token speeds, benchmark intelligence, and architecture limits.

Specification / Metric Claude 3.5 Haiku OpenAI GPT-4o mini Financial & Engineering Impact
Input Price / 1M $0.80 $0.15 GPT-4o mini is 81% cheaper
Output Price / 1M $4.00 $0.60 GPT-4o mini is 85% cheaper
Cached Read / 1M $0.08 (90% off) $0.075 (50% off) Nearly identical cached input cost
Context Window 200,000 tokens 128,000 tokens Claude 3.5 Haiku offers 56% larger context
SWE-bench Verified 40.6% 20.7% Claude 3.5 Haiku nearly doubles coding ability
Throughput Speed 120 tok/s 100 tok/s Claude 3.5 Haiku is slightly faster
Vision & Multimodal Text Only Text + Vision GPT-4o mini natively inspects images
Engineering Architecture Verdict

Choose **Claude 3.5 Haiku** if your workload involves software engineering, complex tool-use loops, or agentic automation, where its 40.6% SWE-bench score dramatically reduces downstream error loops. Choose **GPT-4o mini** for high-volume categorization, summarization, vision inspection, or strictly budget-constrained production services.

Frequently Asked Questions: Claude 3.5 Haiku vs OpenAI GPT-4o mini

Real-world answers covering token budgeting, prompt caching, latency, and SLA differences.

Why is Claude 3.5 Haiku priced higher than GPT-4o mini?

Claude 3.5 Haiku was engineered to match original GPT-4 frontier intelligence in a compact size, achieving a 40.6% SWE-bench score. GPT-4o mini is optimized primarily for micro-cost efficiency ($0.15/$0.60).

How does prompt caching change the economics between Haiku and Mini?

Anthropic's 90% prompt caching discount lowers Haiku's input price to $0.08/M, which is virtually identical to GPT-4o mini's $0.075/M cached rate. In high-cache agent loops, the price difference is largely confined to output tokens.

Does Claude 3.5 Haiku support function calling?

Yes, Claude 3.5 Haiku provides robust, deterministic tool calling and structured schema execution.