Context Window

Compare

Claude 3 5 Sonnet vs Gpt 5 4 Nano 2026 03 17

This page is context-first: how much text each model can take in one request. Full specs adds capabilities and limits; the pricing matrix below is only about $/million tokens from hosts that list both models.

Anthropic

Model

Claude 3 5 Sonnet

Context window

200K

200,000 tokens · ~150K words

Model page
Openai

Model

Gpt 5 4 Nano 2026 03 17

Image inputTool calling

Context window

1.1M

1,050,000 tokens · ~788K words

Model page

Context window · side by side

Bar length is relative to the larger of the two windows (100% = max of this pair). This is not pricing.

Claude 3 5 Sonnet200K
Gpt 5 4 Nano 2026 03 171.1M

Gpt 5 4 Nano 2026 03 17 has about 5.3× the context window of the other in this pair.

Token calculator →Memory savings →

Gpt 5 4 Nano 2026 03 17 has 425% more context capacity (1050K vs 200K tokens). Gpt 5 4 Nano 2026 03 17 is 93% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Gpt 5 4 Nano 2026 03 17. Its 1050K context fits entire documents without chunking (vs 200K).

  • RAG / high-volume retrieval

    Use Gpt 5 4 Nano 2026 03 17. Input tokens are 93% cheaper — critical when sending large retrieved contexts.

Full specs

Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.

SpecClaude 3 5 SonnetGpt 5 4 Nano 2026 03 17
Context window200,000 tokens (200K)1,050,000 tokens (1050K)
Max output tokensN/A128,000 tokens (128K)
Speed tierBalancedFast
VisionNoYes
Function callingNoYes
Extended thinkingNoYes
Prompt cachingYesYes
Batch APIYesNo
Release dateN/AN/A

Pricing matrix

Dollar rates only: hosts that list both models, per 1M tokens. For how much text fits, use the context section above — not this table.

ProviderClaude 3 5 Sonnet inClaude 3 5 Sonnet outGpt 5 4 Nano 2026 03 17 inGpt 5 4 Nano 2026 03 17 out
Azure——$0.200/M$1.25/M
Google Vertex$3.00/M$15.00/M——
Gradient$3.00/M$15.00/M——
Openai——$0.200/M$1.25/M
Openrouter$3.00/M$15.00/M——
Replicate$3.75/M$18.75/M——
Snowflake$3.00/M$15.00/M——

Frequently asked questions

Gpt 5 4 Nano 2026 03 17 has a larger context window: 1050K tokens vs 200K. For long documents, large codebases, or extended agent sessions, the larger context window reduces the need to chunk inputs or summarize history.

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Mem0 gives your AI long-term memory so you stop re-sending context on every call. That means you can use a smaller, faster, cheaper model — and still get better answers.

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Example: a multi-turn chat session

Without Mem0~128K tokens sent
Full history
Repeated info
Old context
With Mem0~20K tokens sent
Key memories
Current turn

80% less to send — works with any model