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Deep Research Pro Preview 12 2025 vs Openhermes 2p5 Mistral 7b

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.

Google

Model

Deep Research Pro Preview 12 2025

Image input

Context window

1.0M

1,048,576 tokens · ~786K words

Model page
Mistral

Model

Openhermes 2p5 Mistral 7b

Context window

33K

32,768 tokens · ~25K 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.

Deep Research Pro Preview 12 20251.0M
Openhermes 2p5 Mistral 7b33K

Deep Research Pro Preview 12 2025 has about 32× the context window of the other in this pair.

Deep Research Pro Preview 12 2025 has 3100% more context capacity (1048K vs 32K tokens). Openhermes 2p5 Mistral 7b is 90% cheaper on input.

Quick verdicts

Short takeaways — validate with your own workloads.

  • Long document processing

    Use Deep Research Pro Preview 12 2025. Its 1048K context fits entire documents without chunking (vs 32K).

  • RAG / high-volume retrieval

    Use Openhermes 2p5 Mistral 7b. Input tokens are 90% cheaper — critical when sending large retrieved contexts.

  • Long output (reports, code files)

    Use Deep Research Pro Preview 12 2025. Its 65K 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.

SpecDeep Research Pro Preview 12 2025Openhermes 2p5 Mistral 7b
Context window1,048,576 tokens (1048K)32,768 tokens (32K)
Max output tokens65,536 tokens (65K)32,768 tokens (32K)
Speed tierBalancedFast
VisionYesNo
Function callingNoNo
Extended thinkingNoNo
Prompt cachingNoNo
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.

ProviderDeep Research Pro Preview 12 2025 inDeep Research Pro Preview 12 2025 outOpenhermes 2p5 Mistral 7b inOpenhermes 2p5 Mistral 7b out
Fireworks——$0.200/M$0.200/M
Google$2.00/M$12.00/M——

Frequently asked questions

Deep Research Pro Preview 12 2025 has a larger context window: 1048K 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.

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