Qwen-Max-Latest
302ai/max-latestPar 302ai · famille: qwen · sorti 2024-04-03 · fin de connaissance: 2024-11
⚠ Il s'agit d'un fine-tune communautaire ou dérivé — pas d'une publication officielle de l'éditeur.
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Capacités
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.
Coding43
- Tool calling40/40
- Structured output0/20
- Reasoning0/10
- Context window (100K → 1M)2/20
- Provider availability1/10
Agents41
- Tool calling35/35
- Structured output0/25
- Reasoning0/15
- Output token limit5/15
- Provider availability1/10
JSON / structured output47
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume17/20
Cost efficiency57
- Headline price (log-scaled)57/95
- Has prompt-cache pricing0/5
Long context46
- Context window (100K → 2M)36/90
- 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 | $2.40 < $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 | $4.80 < $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 | $1.37 < $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 | $4.12 < $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 | $4.94 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Détail des tarifs
Tarif recommandé de 302ai · qwen-max-latest
Disponible chez 1 fournisseurs
| Fournisseur | ID modèle fournisseur | Entrée / 1M | Sortie / 1M | Contexte | Publié le |
|---|---|---|---|---|---|
| 302.AI 302ai | qwen-max-latest | $0.343 | $1.37 | 131K | 2024-04-03 |
Frequently asked questions
How much does Qwen-Max-Latest cost?
Qwen-Max-Latest costs $0.343 per 1M input tokens and $1.37 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 Qwen-Max-Latest?
Qwen-Max-Latest has a context window of 131K tokens, with a max output of 8K tokens per reply. This is the total combined size of prompt + completion.
Does Qwen-Max-Latest support tool calling?
Yes. Qwen-Max-Latest 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 Qwen-Max-Latest support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for Qwen-Max-Latest in our data source. Verify with 302ai's official documentation before relying on it in production.
Can Qwen-Max-Latest accept image input?
No. Qwen-Max-Latest only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is Qwen-Max-Latest open-weight?
No. Qwen-Max-Latest 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 Qwen-Max-Latest?
If Qwen-Max-Latest 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
More 302ai models
- ministral-14b-2512$0.33 in / $0.33 out
Capability lists this model is in
Dernière mise à jour :
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.