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Claude 3.5 Haiku vs GPT-5.3 Codex

Compare Anthropic and OpenAI AI models

Anthropic
Claude 3.5 Haiku
vs
OpenAI
GPT-5.3 Codex

Cost Comparison (1000 input + 500 output tokens, 100 requests/day)

Claude 3.5 Haiku

Per Request:$0.002800
Daily:$0.28
Monthly:$8.40
Yearly:$102.20

GPT-5.3 Codex

Per Request:$0.008750
Daily:$0.875
Monthly:$26.25
Yearly:$319.375

Cost Differences

+$0.005950
Per Request
+$0.595
Daily
+$17.85
Monthly
+$217.175
Yearly

GPT-5.3 Codex costs more than Claude 3.5 Haiku

Feature Comparison

FeatureClaude 3.5 HaikuGPT-5.3 Codex
ProviderAnthropicOpenAI
Input Price$0.80/1M tokens$1.75/1M tokens
Output Price$4.00/1M tokens$14.00/1M tokens
Context Window200,000 tokens256,000 tokens
Max Output8,192 tokens32,768 tokens
Categoryefficientcoding
Capabilities
textvision
textcode
Release Date11/4/20243/1/2026

Claude 3.5 Haiku vs GPT-5.3 Codex: Which Should You Choose?

Choosing between Claude 3.5 Haiku and GPT-5.3 Codex depends on your priorities: cost efficiency, context length, or raw capability. Claude 3.5 Haiku is the more affordable option at $0.80/1M input tokens54% cheaper than GPT-5.3 Codex. Meanwhile, GPT-5.3 Codex offers a significantly larger context window at 256,000 tokens vs 200,000 for Claude 3.5 Haiku.

These models come from different providers — Anthropic and OpenAI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Anthropic, switching to OpenAIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.

These models target different tiers: Claude 3.5 Haiku is a efficient model while GPT-5.3 Codex is coding. This means they're optimized for different workloads. GPT-5.3 Codex targets more demanding workloads, while Claude 3.5 Haiku provides a cost-effective option for everyday tasks.

Output costs matter too. Claude 3.5 Haiku charges $4.00/1M output tokens vs $14.00 for GPT-5.3 Codex. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. Claude 3.5 Haiku has the edge here at $4.00/1M output tokens.

Multimodal capabilities: Claude 3.5 Haiku supports vision (image inputs) while GPT-5.3 Codex is text-only. If your application needs image understanding, this narrows your choice.

Best Use Cases

Choose Claude 3.5 Haiku when:

  • • Budget is a primary concern
  • • You're already using Anthropic's API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Choose GPT-5.3 Codex when:

  • • You need a larger context window (256,000 tokens)
  • • You need longer outputs (up to 32,768 tokens)
  • • You're already using OpenAI's API ecosystem

Try Different Scenarios

Use the calculator below to see how costs change with different usage patterns

Claude 3.5 Haiku (Anthropic)

GPT-5.3 Codex (OpenAI)

Start using Claude 3.5 Haiku today

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Start using GPT-5.3 Codex today

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Frequently Asked Questions

Which is cheaper, Claude 3.5 Haiku or GPT-5.3 Codex?
Claude 3.5 Haiku is cheaper for input tokens at $0.80 per million tokens vs $1.75 for GPT-5.3 Codex — that's 54% savings on input costs.
What is the context window difference between Claude 3.5 Haiku and GPT-5.3 Codex?
Claude 3.5 Haiku supports 200,000 tokens while GPT-5.3 Codex supports 256,000 tokens — a difference of 56,000 tokens in favor of GPT-5.3 Codex.
Which model is better for AI Chatbot?
Both models support text. For ai chatbot, Claude 3.5 Haiku is the lower-cost option, while GPT-5.3 Codex offers a larger context window (256,000 vs 200,000 tokens). Choose Claude 3.5 Haiku for budget sensitivity or GPT-5.3 Codex for longer context tasks.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, Claude 3.5 Haiku costs about $8.40/month and GPT-5.3 Codex costs about $26.25/month. Overall, Claude 3.5 Haiku has lower combined input + output rates ($0.80 in, $4.00 out) vs GPT-5.3 Codex.

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