Context Window

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Codestral Latest vs Gpt Realtime 1 5 2026 02 23

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.

Mistral

Model

Codestral Latest

Context window

32K

32,000 tokens · ~24K words

Model page
Openai

Model

Gpt Realtime 1 5 2026 02 23

Tool calling

Context window

32K

32,000 tokens · ~24K 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.

Codestral Latest32K
Gpt Realtime 1 5 2026 02 2332K

Same context window size for both models.

Token calculator →Memory savings →

Codestral Latest and Gpt Realtime 1 5 2026 02 23 have identical context windows (32K tokens).

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long output (reports, code files)

    Use Codestral Latest. Its 8K max output lets you generate complete artifacts in one request.

Full specs

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

SpecCodestral LatestGpt Realtime 1 5 2026 02 23
Context window32,000 tokens (32K)32,000 tokens (32K)
Max output tokens8,191 tokens (8K)4,096 tokens (4K)
Speed tierBalancedBalanced
VisionNoNo
Function callingNoYes
Extended thinkingNoNo
Prompt cachingNoYes
Batch APINoNo
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.

ProviderCodestral Latest inCodestral Latest outGpt Realtime 1 5 2026 02 23 inGpt Realtime 1 5 2026 02 23 out
Azure——$4.00/M$16.00/M
Google Vertex$0.200/M$0.600/M——
Mistral————

Frequently asked questions

Gpt Realtime 1 5 2026 02 23 has a larger context window: 32K tokens vs 32K. For long documents, large codebases, or extended agent sessions, the larger context window reduces the need to chunk inputs or summarize history.

Powered by Mem0

Use a smaller model.
Get better results.

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.

Calculate your savingsLearn about Mem0

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