Qwen3-235B-A22B-Thinking-2507-fast
nebius/qwen3-235b-a22b-thinking-2507-fastBy nebius · released 2025-07-25 · knowledge: 2025-07
⚠ 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.
Coding71
- Tool calling40/40
- Structured output20/20
- Reasoning10/10
- Context window (100K → 1M)0/20
- Provider availability1/10
Agents81
- Tool calling35/35
- Structured output25/25
- Reasoning15/15
- Output token limit5/15
- Provider availability1/10
JSON / structured output95
- Structured output / JSON mode50/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume15/20
Cost efficiency58
- Headline price (log-scaled)53/95
- Has prompt-cache pricing5/5
Long context0
- Context ≥ 100K0/100
Production-readiness43
- Number of independent providers5/40
- Has published per-token price20/20
- Context window ≥ 8K8/15
- 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 | $3.50 < $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 | $7.00 < $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 | $2.00 < $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 | $6.00 < $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 | $7.20 < $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 nebius · Qwen/Qwen3-235B-A22B-Thinking-2507-fast
Available on 1 providers
| Provider | Provider model id | Input / 1M | Output / 1M | Context | Released |
|---|---|---|---|---|---|
| Nebius Token Factory nebius | Qwen/Qwen3-235B-A22B-Thinking-2507-fast | $0.500 | $2.00 | 8K | 2025-07-25 |
Frequently asked questions
How much does Qwen3-235B-A22B-Thinking-2507-fast cost?
Qwen3-235B-A22B-Thinking-2507-fast costs $0.500 per 1M input tokens and $2.00 per 1M output tokens, sourced from nebius. 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-2507-fast?
Qwen3-235B-A22B-Thinking-2507-fast has a context window of 8K tokens, with a max output of 8K tokens per reply. This is the total combined size of prompt + completion.
Does Qwen3-235B-A22B-Thinking-2507-fast support tool calling?
Yes. Qwen3-235B-A22B-Thinking-2507-fast 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 Qwen3-235B-A22B-Thinking-2507-fast support structured output / JSON mode?
Yes. Qwen3-235B-A22B-Thinking-2507-fast 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 Qwen3-235B-A22B-Thinking-2507-fast accept image input?
No. Qwen3-235B-A22B-Thinking-2507-fast only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is Qwen3-235B-A22B-Thinking-2507-fast open-weight?
Yes. Qwen3-235B-A22B-Thinking-2507-fast's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.
What are the best alternatives to Qwen3-235B-A22B-Thinking-2507-fast?
If Qwen3-235B-A22B-Thinking-2507-fast doesn't fit, consider Hermes-4-70B, Hermes-4-405B, INTELLECT-3. 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 nebius models
- Hermes-4-70B$0.13 in / $0.40 out
- Hermes-4-405B$1.00 in / $3.00 out
- INTELLECT-3$0.20 in / $1.10 out
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.