Last verified 2025-09-22 (left) · 2025-09-22 (right)

Claude Sonnet 3.7 (Legacy) vs GPT-4o (fine-tuned) — Pricing & Capability Comparison

Claude Sonnet 3.7 (Legacy) charges $3.00 per million input tokens and $15.00 per million output tokens. GPT-4o (fine-tuned) comes in at $3.75 / $15.00. Context windows span 200K vs 128K tokens respectively.

Input price (per 1M)

Claude Sonnet 3.7 (Legacy)

$3.00

GPT-4o (fine-tuned)

$3.75

Claude Sonnet 3.7 (Legacy) leads here

Output price (per 1M)

Claude Sonnet 3.7 (Legacy)

$15.00

GPT-4o (fine-tuned)

$15.00

Claude Sonnet 3.7 (Legacy) leads here

Context window

Claude Sonnet 3.7 (Legacy)

200,000 tokens

GPT-4o (fine-tuned)

128,000 tokens

Claude Sonnet 3.7 (Legacy) leads here

Cached input

Claude Sonnet 3.7 (Legacy)

Not published

GPT-4o (fine-tuned)

$1.875

GPT-4o (fine-tuned) leads here

Cost comparison for 10K-token workloads

Side-by-side pricing for identical workloads (10,000 total tokens per request) across different distributions.

ScenarioClaude Sonnet 3.7 (Legacy)GPT-4o (fine-tuned)GPT-4o (fine-tuned) cached
Balanced conversation
50% input · 50% output
$0.0900$0.0938$0.0844
Input-heavy workflow
80% input · 20% output
$0.0540$0.0600$0.0450
Generation heavy
30% input · 70% output
$0.114$0.116$0.111
Cached system prompt
90% cached input · 10% fresh output
$0.0420$0.0487$0.0319

Frequently asked questions

Which model is cheaper per million input tokens?

Claude Sonnet 3.7 (Legacy) costs $3.00 per million input tokens versus $3.75 for GPT-4o (fine-tuned).

How do output prices compare?

Claude Sonnet 3.7 (Legacy) charges $15.00 per million output tokens, while GPT-4o (fine-tuned) costs $15.00 per million.

Which model supports a larger context window?

Claude Sonnet 3.7 (Legacy) offers 200,000 tokens (200K) versus 128K for GPT-4o (fine-tuned).

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