Qwen3 235B A22B Thinking
helicone/qwen3-235b-a22b-thinkingОт helicone · семейство: qwen · выпуск 2025-07-25 · дата знаний: 2025-07
⚠ Это сообществом дообученная / производная модель — не официальный релиз вендора.
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Возможности
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.
Coding19
- Tool calling0/40
- Structured output0/20
- Reasoning10/10
- Context window (100K → 1M)8/20
- Provider availability1/10
Agents31
- Tool calling0/35
- Structured output0/25
- Reasoning15/15
- Output token limit15/15
- Provider availability1/10
JSON / structured output24
- Structured output / JSON mode0/50
- Tool calling0/20
- Temperature control10/10
- Price-friendly for high-volume14/20
Cost efficiency50
- Headline price (log-scaled)50/95
- Has prompt-cache pricing0/5
Long context61
- Context window (100K → 2M)51/90
- Has published price for full window10/10
Vision82
- Accepts image input50/50
- Context window (10K → 1M)21/30
- Has published price10/10
- Provider availability1/10
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 | $2.95 < $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 | $5.90 < $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 | $2.05 < $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 | $5.30 < $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 | $5.34 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Детализация цен
Рекомендованная цена от helicone · qwen3-235b-a22b-thinking
Доступна у 1 провайдеров
| Провайдер | ID модели провайдера | Вход / 1M | Выход / 1M | Контекст | Выпуск |
|---|---|---|---|---|---|
| Helicone helicone | qwen3-235b-a22b-thinking | $0.300 | $2.90 | 262K | 2025-07-25 |
Frequently asked questions
How much does Qwen3 235B A22B Thinking cost?
Qwen3 235B A22B Thinking costs $0.300 per 1M input tokens and $2.90 per 1M output tokens, sourced from helicone. 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 235B A22B Thinking?
Qwen3 235B A22B Thinking has a context window of 262K tokens, with a max output of 82K tokens per reply. This is the total combined size of prompt + completion.
Does Qwen3 235B A22B Thinking support tool calling?
No. Qwen3 235B A22B Thinking does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.
Does Qwen3 235B A22B Thinking support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for Qwen3 235B A22B Thinking in our data source. Verify with helicone's official documentation before relying on it in production.
Can Qwen3 235B A22B Thinking accept image input?
Yes. Qwen3 235B A22B Thinking accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check helicone's docs for the exact rule.
Is Qwen3 235B A22B Thinking open-weight?
No. Qwen3 235B A22B Thinking is a proprietary model — only helicone (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.
What are the best alternatives to Qwen3 235B A22B Thinking?
If Qwen3 235B A22B Thinking doesn't fit, consider OpenAI o3 Pro, OpenAI o4 Mini, OpenAI: o1. 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 helicone models
- OpenAI o3 Pro$20.00 in / $80.00 out
- OpenAI o4 Mini$1.10 in / $4.40 out
- OpenAI: o1$15.00 in / $60.00 out
- OpenAI o3 Mini$1.10 in / $4.40 out
- OpenAI o3$2.00 in / $8.00 out
Capability lists this model is in
Последнее обновление:
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.