Compare
Coder Large vs Gemini Omni 1 1 Flash Preview
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.
Model
Gemini Omni 1 1 Flash Preview
Context window
58K
57,920 tokens · ~43K words
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.
Gemini Omni 1 1 Flash Preview has about 1.8× the context window of the other in this pair.
Gemini Omni 1 1 Flash Preview has 76% more context capacity (57K vs 32K tokens).
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Gemini Omni 1 1 Flash Preview. Its 57K context fits entire documents without chunking (vs 32K).
Full specs
Context, output, capabilities, and dates. Green highlights the favorable value where we compute a winner.
| Spec | Coder Large | Gemini Omni 1 1 Flash Preview |
|---|---|---|
| Context window | 32,768 tokens (32K) | 57,920 tokens (57K) |
| Max output tokens | N/A | 57,920 tokens (57K) |
| Speed tier | Deep | Fast |
| Vision | No | Yes |
| Function calling | No | No |
| Extended thinking | No | Yes |
| Prompt caching | No | No |
| Batch API | No | No |
| Release date | May 2025 | N/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.
| Provider | Coder Large in | Coder Large out | Gemini Omni 1 1 Flash Preview in | Gemini Omni 1 1 Flash Preview out |
|---|---|---|---|---|
| Google Vertex | — | — | $1.50/M | $9.00/M |
Frequently asked questions
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
80% less to send — works with any model