---
title: "Qwen: Qwen3 32B — price, capability and what beats it · Undominated.ai"
canonical: https://undominated.ai/models/qwen__qwen3-32b/
description: "Qwen: Qwen3 32B: $0.080/M in, $0.280/M out. Independent capability scores, and alternatives compared under recorded workload and capability requirements."
---

# Qwen: Qwen3 32B — price, capability and what beats it · Undominated.ai

> Qwen: Qwen3 32B: $0.080/M in, $0.280/M out. Independent capability scores, and alternatives compared under recorded workload and capability requirements.

[Check base rates for this workload](/check/qwen__qwen3-32b/) [Cheaper alternatives](/alternatives/qwen__qwen3-32b/) [Family](/families/qwen/) [Compare models](https://undominated.ai/compare/?models=qwen%2Fqwen3-32b) Comparison context

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Requirements and prompt length apply in Compare. This page keeps its stated price basis and workload controls.

MODEL PROOF

# Qwen3 32B

Qwen · 28 Apr 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.

 **$0.130** / 1M tokens Balanced · 3 tokens in per 1 out

[Gemma 4 26B A4B](/models/google__gemma-4-26b-a4b-it/) · Δ score 93.8 points · 3% lower measured price · $0.127 / 1M tokens

[Gemma 3 27B](/models/google__gemma-3-27b-it/) is a further stored option with these losses: no extended reasoning

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 1,340.1 ± 9.31 · 3,926 votes
 Context window 131.07K
 Maximum output 16.38K
 Input modalities text
 Output modalities text
 Published input price $0.080 / 1M tokens
 Published output price $0.280 / 1M tokens
 Pricing kind fixed

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

Price from DeepInfra: the cheapest offer that is serving, at standard delivery and at a declared precision that is not 4-bit (fp8), at its standard rate. The maker’s own precision is not known.

 Every price dimension · USD per million tokens

| Input | $0.080 /M |
| --- | --- |
| Output | $0.280 /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.

 3 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 DeepInfra deepinfra/fp8 Endpoint terms Cached input /M Unknown Context limit 40,960 tokens Output limit 16,384 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 99.97% | Input $0.080 | Output $0.280 | Precision fp8 | Uptime (1d) 99.93% |
| Seller Tenstorrent tenstorrent/fp8 Endpoint terms Cached input /M $0.090 Context limit 41,000 tokens Output limit 16,400 tokens Tools Not listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 100.00% | Input $0.140 | Output $0.400 | Precision fp8 | Uptime (1d) 99.23% |
| Seller SiliconFlow siliconflow/fp8 Endpoint terms Cached input /M Unknown Context limit 131,072 tokens Output limit 117,964 tokens Tools Listed by endpoint Reasoning Listed by endpoint Promotional discount None reported Uptime · last 30 minutes 100.00% | Input $0.140 | Output $0.570 | Precision fp8 | Uptime (1d) 94.80% |

### Independent scores

| LMArena Elo | 1340.1 default |
| --- | --- |

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

### Capability

| Context window | 131K |
| --- | --- |
| Max output | 16K |
| Input modes | text |
| Tool use | yes |
| Reasoning | optional |
| Knowledge cutoff | 2025-03-31 |
| Open weights | Unknown |

### Provenance

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

Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue. It supports seamless switching between a "thinking" mode for...

## Questions this page answers

 What does Qwen3 32B cost?

$0.080/M in, $0.280/M out in this catalogue, as of the fetch date on this page. That is the API row, not a subscription.

 Does Qwen3 32B have an independent quality score?

Qwen3 32B has an LMArena score in this catalogue.

 What beats Qwen3 32B?

Gemma 4 26B A4B has an equal-or-higher measured score and an equal-or-lower price.

 Does this page use Artificial Analysis scores for Qwen3 32B?

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

MODEL MONUMENT

## Save or share this proof

 Download proof card · 1200 × 630 Preview and more sharing options

Qwen: Qwen3 32B. Balanced workload. Better value option available. Evidence as of 06 Oct 2026.

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## Related

 - Both better and cheaper [Gemma 4 26B A4B](/models/google__gemma-4-26b-a4b-it/)
- Higher score and cheaper, with a named trade [Gemma 3 27B](/models/google__gemma-3-27b-it/)
- Nearby on the capability axis [GPT-4.1 Mini](/models/openai__gpt-4.1-mini/)
- Same vendor [Qwen3 30B A3B](/models/qwen__qwen3-30b-a3b/)
- Qwen models [Qwen](/providers/qwen/)
- Where this model appears [spreads](/spreads/)
- Nearby on the capability axis [Trinity Large Thinking](/models/arcee-ai__trinity-large-thinking/)
- Same vendor [Qwen3 235B A22B](/models/qwen__qwen3-235b-a22b/)
- Where this model appears [significance](/significance/)
- Nearby on the capability axis [MiniMax M2](/models/minimax__minimax-m2/)
- Same vendor [Qwen3 Next 80B A3B Thinking](/models/qwen__qwen3-next-80b-a3b-thinking/)
- Where this model appears [cheapest-at](/cheapest-at/)

## Badge

The verdict as one SVG, for a README or a docs page. It states this model's dominance status at the balanced workload on the LMArena lens, with the date it was computed, and it is rebuilt with the catalogue — so it changes when the verdict changes, including to one you would rather it did not.

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## Continue your investigation

 - [Explore model families](/families/)
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- [Understand the evidence](/methodology/)
