---
title: "Qwen: Qwen3 VL 235B A22B Thinking — price, capability and what beats it · Undominated.ai"
canonical: https://undominated.ai/models/qwen__qwen3-vl-235b-a22b-thinking/
description: "Qwen: Qwen3 VL 235B A22B Thinking: $0.400/M in, $4.00/M out. Independent capability scores, and alternatives compared under recorded workload and capability requirements."
---

# Qwen: Qwen3 VL 235B A22B Thinking — price, capability and what beats it · Undominated.ai

> Qwen: Qwen3 VL 235B A22B Thinking: $0.400/M in, $4.00/M out. Independent capability scores, and alternatives compared under recorded workload and capability requirements.

[Check base rates for this workload](/check/qwen__qwen3-vl-235b-a22b-thinking/) [Cheaper alternatives](/alternatives/qwen__qwen3-vl-235b-a22b-thinking/) [Family](/families/qwen/) [Compare models](https://undominated.ai/compare/?models=qwen%2Fqwen3-vl-235b-a22b-thinking) Comparison context

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MODEL PROOF

# Qwen3 VL 235B A22B Thinking

Qwen · 23 Sept 2025

 Balanced Summarise Chat Code gen Agentic

BETTER VALUE OPTION

## A stored alternative has an equal-or-higher measured score and an equal-or-lower price.

 **$1.30** / 1M tokens Balanced · 3 tokens in per 1 out

Serving precision differs between offers.

[MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/) · Δ score 90.3 points · 58% lower measured price · $0.540 / 1M tokens

[GLM 5.3](/models/z-ai__glm-5.3/) is a further stored option with these losses: no image input

Lifecycle: retirement date · 09 Oct 2026

Evidence as of 06 Oct 2026

 [openrouter/models](https://openrouter.ai/api/v1/models) [LMArena · cc-by-4.0](https://huggingface.co/datasets/lmarena-ai/leaderboard-dataset) Independent LMArena score 1,400.7 ± 6.85 · 7,805 votes
 Context window 131.07K
 Maximum output 32.77K
 Input modalities text, image
 Output modalities text
 Published input price $0.400 / 1M tokens
 Published output price $4.00 / 1M tokens
 Pricing kind fixed

Inspect [complete billing conditions](#billing-details) and endpoint terms below.

Price from Alibaba: the cheapest offer that is serving, at standard delivery and at the maker’s precision or better, at its standard rate.

 Every price dimension · USD per million tokens

| Input | $0.400 /M |
| --- | --- |
| Output | $4.00 /M |
| Cached input | Unknown /M |
| Cache write | Unknown /M |
| Cache write 1h | Unknown /M |
| Reasoning | Unknown /M |

### Who sells it

The same weights, different shops. Cheapest is not like-for-like when serving precision differs.

Headline cheapest is a lower precision. Like-for-like at the best declared precision is $0.980/M from Novita.

 2 provider offers · rates, limits and conditions

Rates are USD per million tokens. Endpoint terms can differ even when the quoted price and precision match. A listed parameter is a provider declaration, not a task-success test.

| Seller | Input | Output | Precision | Uptime (1d) |
| --- | --- | --- | --- | --- |
| Seller Alibaba alibaba Endpoint terms Cached input /M Unknown Context limit 131,072 tokens Output limit 32,768 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes Unknown | Input $0.400 | Output $4.00 | Precision undeclared | Uptime (1d) 91.61% |
| Seller Novita novita/bf16 Endpoint terms Cached input /M Unknown Context limit 131,072 tokens Output limit 32,768 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes Unknown | Input $0.980 | Output $3.95 | Precision bf16 | Uptime (1d) 98.56% |

### Independent scores

| LMArena Elo | 1400.7 default |
| --- | --- |

LMArena Elo under CC BY 4.0. Absence of another board is not a score of zero.

### Capability

| Context window | 131K |
| --- | --- |
| Max output | 32K |
| Input modes | text, image |
| Tool use | yes |
| Reasoning | always on |
| Knowledge cutoff | 2025-03-31 |
| Open weights | Unknown |

**Retirement scheduled for 2026-10-09.** Do not start new work on it.

### Provenance

| Price source | [openrouter.ai](https://openrouter.ai/api/v1/models) |
| --- | --- |
| Fetched | 2026-10-06 |
| Quality data | verified |

Qwen3-VL-235B-A22B Thinking is a multimodal model that unifies strong text generation with visual understanding across images and video. The Thinking model is optimized for multimodal reasoning in STEM and math....

## Questions this page answers

 What does Qwen3 VL 235B A22B Thinking cost?

$0.400/M in, $4.00/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription.

 Does Qwen3 VL 235B A22B Thinking have an independent quality score?

Qwen3 VL 235B A22B Thinking has an LMArena score in this catalogue.

 What beats Qwen3 VL 235B A22B Thinking?

MiMo-V2.6-Pro has an equal-or-higher measured score and an equal-or-lower price.

 Does this page use Artificial Analysis scores for Qwen3 VL 235B A22B Thinking?

No. Artificial Analysis figures are not published here. Quality on this page is LMArena Elo where a score exists; otherwise the row is unrated.

 Is the cheapest Qwen3 VL 235B A22B Thinking endpoint the same product?

Headline cheapest is a lower precision. Like-for-like at the best declared precision is $0.980/M from Novita.

MODEL MONUMENT

## Save or share this proof

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Qwen: Qwen3 VL 235B A22B Thinking. Balanced workload. Better value option available. Evidence as of 06 Oct 2026.

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## Related

 - Both better and cheaper [MiMo-V2.6-Pro](/models/xiaomi__mimo-v2.6-pro/)
- Higher score and cheaper, with a named trade [GLM 5.3](/models/z-ai__glm-5.3/)
- Nearby on the capability axis [Step 3.5 Flash](/models/stepfun__step-3.5-flash/)
- Same vendor [Qwen3.5-35B-A3B](/models/qwen__qwen3.5-35b-a3b/)
- Qwen models [Qwen](/providers/qwen/)
- Where this model appears [deprecations](/deprecations/)
- Nearby on the capability axis [Grok 4.7](/models/x-ai__grok-4.7/)
- Same vendor [Qwen3.5-27B](/models/qwen__qwen3.5-27b/)
- Where this model appears [effort](/effort/)
- Nearby on the capability axis [Qwen3.5-Flash](/models/qwen__qwen3.5-flash-02-23/)
- Same vendor [Qwen3 Max](/models/qwen__qwen3-max/)
- Where this model appears [spreads](/spreads/)

## Badge

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