qwen3-max-2025-09-23
302ai/qwen3-max-2025-09-23By 302ai · released 2025-09-24 · knowledge: 2025-04
⚠ This is a community fine-tune or derivative — not an official vendor release.
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Capabilities
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding49
- Tool calling40/40
- Structured output0/20
- Reasoning0/10
- Context window (100K → 1M)8/20
- Provider availability1/10
Agents51
- Tool calling35/35
- Structured output0/25
- Reasoning0/15
- Output token limit15/15
- Provider availability1/10
JSON / structured output41
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume11/20
Cost efficiency47
- Headline price (log-scaled)47/95
- Has prompt-cache pricing0/5
Long context61
- Context window (100K → 2M)51/90
- Has published price for full window10/10
Production-readiness50
- Number of independent providers5/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers10/10
- Official model (not derivative)0/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $6.02 < $0.01 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $12.03 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $3.44 < $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $10.31 $0.01 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $12.38 $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Pricing detail
Recommended pricing from 302ai · qwen3-max-2025-09-23
Available on 1 providers
| Provider | Provider model id | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|---|
| 302.AI 302ai | qwen3-max-2025-09-23 | $0.860 | $3.43 | 258K | 2025-09-24 |
Frequently asked questions
How much does qwen3-max-2025-09-23 cost?
qwen3-max-2025-09-23 costs $0.860 per 1M input tokens and $3.43 per 1M output tokens, sourced from 302ai. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of qwen3-max-2025-09-23?
qwen3-max-2025-09-23 has a context window of 258K tokens, with a max output of 66K tokens per reply. This is the total combined size of prompt + completion.
Does qwen3-max-2025-09-23 support tool calling?
Yes. qwen3-max-2025-09-23 supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Does qwen3-max-2025-09-23 support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for qwen3-max-2025-09-23 in our data source. Verify with 302ai's official documentation before relying on it in production.
Can qwen3-max-2025-09-23 accept image input?
No. qwen3-max-2025-09-23 only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is qwen3-max-2025-09-23 open-weight?
No. qwen3-max-2025-09-23 is a proprietary model — only 302ai (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to qwen3-max-2025-09-23?
If qwen3-max-2025-09-23 doesn't fit, consider ministral-14b-2512. Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
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Capability lists this model is in
Last updated:
Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.