tokevenClaudevsGPT
Claude Opus 4.6 vs GPT 3.5 Turbo
Side-by-side comparison of pricing, task quality, and projected cost at higher scale.
Pricing
Side-by-side pricing
Claude Opus 4.6
FlagshipGPT 3.5 Turbo
Fast / BudgetInput $/MTok
$5.00
$0.50
Output $/MTok
$25.00
$1.50
Cache discount
90% off
0% off
Context
1,000K
16.385K
Quality
Task confidence comparison
Confidence score from zero to one hundred by task type, where higher is better.
Code Generation
0
vs
0
Code Review
0
vs
0
Summarization
0
vs
0
Q&A
0
vs
0
Extraction
0
vs
0
Reasoning
0
vs
0
Classification
0
vs
0
Creative Writing
0
vs
0
Claude Opus 4.6
GPT 3.5 Turbo
Guidance
When to use Claude Opus 4.6 vs GPT 3.5 Turbo
Choose Claude Opus 4.6 when...
- -You need a larger context window (1,000K vs 16.385K)
- Similar performance; consider provider preference or ecosystem fit.
Choose GPT 3.5 Turbo when...
- -Cost matters: 90% cheaper on input tokens
At scale
Cost at scale
Estimated cost assuming a seventy percent input and thirty percent output token split.
Claude Opus 4.6
GPT 3.5 Turbo
100K tokens
$1.10
$0.08Cheaper
1M tokens
$11.00
$0.80Cheaper
10M tokens
$110.00
$8.00Cheaper
FAQ
When should I use Claude Opus 4.6 instead of GPT 3.5 Turbo?
Claude Opus 4.6 and GPT 3.5 Turbo perform similarly across all tracked tasks. Pick based on pricing and provider preference.
Is GPT 3.5 Turbo cheaper than Claude Opus 4.6?
Yes. GPT 3.5 Turbo input costs $0.50/MTok vs $5.00/MTok for Claude Opus 4.6, saving 90% on input.
What are the context window sizes for Claude Opus 4.6 and GPT 3.5 Turbo?
Claude Opus 4.6 has a 1,000K token context window. GPT 3.5 Turbo has a 16.385K token context window.
Go deeper on either model
Per-call cost calculators, provider lineups, and price history for both models on this page.
Other comparisons
How Claude Opus 4.6 and GPT 3.5 Turbo stack up against the rest of the field.
Track your real costs
Comparisons show estimated costs at list price. The dashboard reveals your real spend and savings.