Compare
Openai Gpt 5 Mini vs Qwen3 Next 80B A3B Thinking
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
Qwen3 Next 80B A3B Thinking
Context window
262K
262,144 tokens · ~197K 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.
Openai Gpt 5 Mini has about 3.8× the context window of the other in this pair.
Openai Gpt 5 Mini has 281% more context capacity (1000K vs 262K tokens). Openai Gpt 5 Mini is 66% cheaper on input.
Quick verdicts
Short takeaways — validate with your own workloads.
Long document processing
Use Openai Gpt 5 Mini. Its 1000K context fits entire documents without chunking (vs 262K).
RAG / high-volume retrieval
Use Openai Gpt 5 Mini. Input tokens are 66% cheaper — critical when sending large retrieved contexts.
Long output (reports, code files)
Use Qwen3 Next 80B A3B Thinking. 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.
| Spec | Openai Gpt 5 Mini | Qwen3 Next 80B A3B Thinking |
|---|---|---|
| Context window | 1,000,000 tokens (1000K) | 262,144 tokens (262K) |
| Max output tokens | 16,384 tokens (16K) | 65,536 tokens (65K) |
| Speed tier | Fast | Fast |
| Vision | No | No |
| Function calling | Yes | Yes |
| Extended thinking | No | Yes |
| Prompt caching | No | No |
| Batch API | No | No |
| Release date | N/A | Sep 2025 |
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 | Openai Gpt 5 Mini in | Openai Gpt 5 Mini out | Qwen3 Next 80B A3B Thinking in | Qwen3 Next 80B A3B Thinking out |
|---|---|---|---|---|
| Alibaba Cloud | — | — | $0.150/M | $1.20/M |
| Deepinfra | — | — | $0.140/M | $1.40/M |
| Fireworks | — | — | $0.900/M | $0.900/M |
| Novita | — | — | $0.150/M | $1.50/M |
| Snowflake | $0.300/M | $1.20/M | — | — |
| Together Ai | — | — | $0.150/M | $1.50/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