Qwen 3 235b A22B 2507 (TEE)
nano-gpt/qwen3-235b-a22b-instruct-2507-teePor nano-gpt · lançado 2025-07-25
⚠ Este é um fine-tune da comunidade ou derivado — não um lançamento oficial do fornecedor.
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Capacidades
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.
Coding69
- Tool calling40/40
- Structured output20/20
- Reasoning0/10
- Context window (100K → 1M)8/20
- Provider availability1/10
Agents76
- Tool calling35/35
- Structured output25/25
- Reasoning0/15
- Output token limit15/15
- Provider availability1/10
JSON / structured output89
- Structured output / JSON mode50/50
- Tool calling20/20
- Temperature control0/10
- Price-friendly for high-volume19/20
Cost efficiency67
- Headline price (log-scaled)67/95
- Has prompt-cache pricing0/5
Long context60
- Context window (100K → 2M)50/90
- 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 | $0.90 < $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 | $1.80 < $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 | $0.51 < $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 | $1.54 < $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 | $1.86 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Detalhes de preço
Preço recomendado de nano-gpt · qwen/Qwen3-235B-A22B-Instruct-2507-TEE
Disponível em 1 provedores
| Provedor | ID do modelo do provedor | Entrada / 1M | Saída / 1M | Contexto | Lançado |
|---|---|---|---|---|---|
| NanoGPT nano-gpt | qwen/Qwen3-235B-A22B-Instruct-2507-TEE | $0.130 | $0.500 | 256K | 2025-07-25 |
Frequently asked questions
How much does Qwen 3 235b A22B 2507 (TEE) cost?
Qwen 3 235b A22B 2507 (TEE) costs $0.130 per 1M input tokens and $0.500 per 1M output tokens, sourced from nano-gpt. 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 3 235b A22B 2507 (TEE)?
Qwen 3 235b A22B 2507 (TEE) has a context window of 256K tokens, with a max output of 262K tokens per reply. This is the total combined size of prompt + completion.
Does Qwen 3 235b A22B 2507 (TEE) support tool calling?
Yes. Qwen 3 235b A22B 2507 (TEE) 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 3 235b A22B 2507 (TEE) support structured output / JSON mode?
Yes. Qwen 3 235b A22B 2507 (TEE) supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Can Qwen 3 235b A22B 2507 (TEE) accept image input?
No. Qwen 3 235b A22B 2507 (TEE) only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is Qwen 3 235b A22B 2507 (TEE) open-weight?
No. Qwen 3 235b A22B 2507 (TEE) is a proprietary model — only nano-gpt (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to Qwen 3 235b A22B 2507 (TEE)?
If Qwen 3 235b A22B 2507 (TEE) doesn't fit, consider ERNIE X1.1, Brave (Research), MiroThinker 1.7 Deep Research Mini. 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 are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
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- v0 1.0 MD$3.00 in / $15.00 out
Capability lists this model is in
Última atualização:
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.