How much does Qwen3-235B-A22B-Instruct (Jul 2025) cost?

Qwen3-235B-A22B-Instruct (Jul 2025) costs $0.22 per million input tokens and $0.88 per million output tokens, using the median price across hosting providers as of 26 Oct 2026. That is about $0.07 for 100 chats of about 1,000 tokens in and 500 tokens back. Confirm on the maker's site before you buy, because prices change.

What is the context window of Qwen3-235B-A22B-Instruct (Jul 2025)?

Qwen3-235B-A22B-Instruct (Jul 2025) has a context window of 262K tokens, roughly 197,000 words of text read at once. A single answer can be up to 262K tokens long.

Is Qwen3-235B-A22B-Instruct (Jul 2025) open source?

Qwen3-235B-A22B-Instruct (Jul 2025) has open weights: its trained parameters can be downloaded. That is not always the same as open source, because licence terms differ, so read the licence before you use it commercially.

How good is Qwen3-235B-A22B-Instruct (Jul 2025) compared with other AI models?

On the Epoch Capabilities Index, Qwen3-235B-A22B-Instruct (Jul 2025) scores 138.8 (likely range 135.5 to 140.8), which ranks 130 of 270 models we track. On Arena's human-vote text board it is ranked 88 of 166. Scores close together are a tie in practice.

How does Qwen3-235B-A22B-Instruct (Jul 2025) compare with DeepSeek-R1?

Qwen3-235B-A22B-Instruct (Jul 2025) scores higher on 3 of 5 shared quality measures, DeepSeek-R1 on 0. 2 measures are too close to call. Qwen3-235B-A22B-Instruct (Jul 2025) costs about 60% less than DeepSeek-R1 on a blended price of $0.39 against $0.96 per million tokens. See the full comparison for every measure.

How current are these numbers for Qwen3-235B-A22B-Instruct (Jul 2025)?

The newest data on this page is dated 26 Oct 2026. Scores come from Epoch AI and Arena, prices from the open LiteLLM price list.

AI Rankings

Qwen3-235B-A22B-Instruct (Jul 2025): Score, Price and Context Window

Where Qwen3-235B-A22B-Instruct (Jul 2025) from Alibaba ranks, what it costs and how much text it can read, in plain numbers with the sources.

Data updated 26 Oct 2026

Alibaba
Open weights
Released Jul 2025

Its score range overlaps with DeepSeek-R1, the model just above it, so a small gap in rank is not a meaningful difference.

Best for

Keeping costs low: it is among the cheapest quarter of models in the top half by score.
Running it yourself: its weights can be downloaded (read the licence terms first).

These lines are worked out from the numbers on this page, not from hands-on testing.

Key facts

Overall score: 138.8; Rank 130 of 270. Likely range 135.5 to 140.8.
Human preference: chat: 1422; Rank 88 of 166. 98,096 votes.
Human preference: coding: 1472; Rank 86 of 166. 21,728 votes.
Price per million tokens: $0.22 in / $0.88 out; Blended $0.39. Median across hosting providers, checked 26 Oct 2026.
Context window: 262K tokens; About 197,000 words at once. One answer up to 262K tokens.
Weights: Open; The weights can be downloaded. Check the licence before commercial use.

Features listed by the price list: Tool use.

Try itQwen Studio in our AI tools directoryQwen assistant for chat, document processing, multimodal questions, web search, and creative tasks.

How Qwen3-235B-A22B-Instruct (Jul 2025) stacks up

Each strip shows every model we track as faint bars. The dot is this model. Better is always to the right, even for price.

Qwen3-235B-A22B-Instruct (Jul 2025) compared with all models we trackOverall capability: 138.8. Better than 52% of the other 269 models. Human preference: chat: 1422. Better than 47% of the other 165 models. Human preference: coding: 1472. Better than 48% of the other 165 models. Price: $0.39 per 1M. Cheaper than 73% of the other 200 priced models. Context window: 262K tokens. Larger context window than 50% of the other 198 models.

Overall capability138.8
Better than 52% of the other 269 modelsUpper half
Epoch Capabilities Index: one score that combines many tests.
Human preference: chat1422
Better than 47% of the other 165 models
How often people pick its answers over another model's on Arena.
Human preference: coding1472
Better than 48% of the other 165 models
How often people pick its answers to coding questions on Arena.
Price$0.39 per 1M
Cheaper than 73% of the other 200 priced modelsUpper half
Blended price per million tokens. Lower is better, so the cheapest models sit on the right.
Context window262K tokens
Larger context window than 50% of the other 198 modelsUpper half
How much text it can read at once. Bigger suits long documents.

Compared with the other published models that have each measure. Data updated 26 Oct 2026.

Where Qwen3-235B-A22B-Instruct (Jul 2025) ranks

Leaderboards it appears on, best placing first.

See all leaderboards

Test results

Each test checks one kind of skill. Place shows where it stands among the models that took that test.

Aider Polyglot
225 coding exercises in six programming languages. The AI edits the code files and the exercise's tests decide pass or fail.
59.6%
Place 17 of 46
tied with 1 other
ARC-AGI-2
Visual puzzles where the AI must work out a new rule from a few examples and apply it. They test picking up a new idea quickly, not recalling facts.
1.3%
Place 71 of 86

What it costs in everyday terms

List prices turned into amounts you can picture. Real bills depend on how you use it.

100 chats: $0.07; Cost of 100 chats assumes each chat sends 1,000 tokens (about 750 words) and gets 500 tokens (about 375 words) back.
A 300-page book: $0.02; Cost to read a 300-page book assumes about 100,000 input tokens and no reply. A real book varies with page size and language.
Blended price: $0.39 per 1M; Three parts input to one part output. Our own calculation for comparing models.

Similar models

Models from other makers with a similar overall score.

Learn more

Questions about Qwen3-235B-A22B-Instruct (Jul 2025)

How much does Qwen3-235B-A22B-Instruct (Jul 2025) cost?: Qwen3-235B-A22B-Instruct (Jul 2025) costs $0.22 per million input tokens and $0.88 per million output tokens, using the median price across hosting providers as of 26 Oct 2026. That is about $0.07 for 100 chats of about 1,000 tokens in and 500 tokens back. Confirm on the maker's site before you buy, because prices change.
What is the context window of Qwen3-235B-A22B-Instruct (Jul 2025)?: Qwen3-235B-A22B-Instruct (Jul 2025) has a context window of 262K tokens, roughly 197,000 words of text read at once. A single answer can be up to 262K tokens long.
Is Qwen3-235B-A22B-Instruct (Jul 2025) open source?: Qwen3-235B-A22B-Instruct (Jul 2025) has open weights: its trained parameters can be downloaded. That is not always the same as open source, because licence terms differ, so read the licence before you use it commercially.
How good is Qwen3-235B-A22B-Instruct (Jul 2025) compared with other AI models?: On the Epoch Capabilities Index, Qwen3-235B-A22B-Instruct (Jul 2025) scores 138.8 (likely range 135.5 to 140.8), which ranks 130 of 270 models we track. On Arena's human-vote text board it is ranked 88 of 166. Scores close together are a tie in practice.
How does Qwen3-235B-A22B-Instruct (Jul 2025) compare with DeepSeek-R1?: Qwen3-235B-A22B-Instruct (Jul 2025) scores higher on 3 of 5 shared quality measures, DeepSeek-R1 on 0. 2 measures are too close to call. Qwen3-235B-A22B-Instruct (Jul 2025) costs about 60% less than DeepSeek-R1 on a blended price of $0.39 against $0.96 per million tokens. See the full comparison for every measure.
How current are these numbers for Qwen3-235B-A22B-Instruct (Jul 2025)?: The newest data on this page is dated 26 Oct 2026. Scores come from Epoch AI and Arena, prices from the open LiteLLM price list.

Where this data comes from

Epoch AI: Benchmark data: Epoch AI, 'Capabilities & benchmarking', epoch.ai/benchmarks (CC BY 4.0). We match models across sources, rank them and show them in charts. Scores are not changed. Epoch AI does not endorse this site.
Arena (formerly LMArena): Human-preference ratings: Arena (arena.ai) leaderboard dataset, CC BY 4.0. We keep the latest published ratings, match them to models from other sources and rank them. Ratings are not changed. Arena does not endorse this site.
LiteLLM model price list: Prices and context windows: LiteLLM model price list (github.com/BerriAI/litellm, MIT licence). We use the model maker's own price entry when there is one. Prices change often, so always confirm on the maker's site before you buy.

Newest data on this page: 26 Oct 2026. Prices are list prices and change often, so confirm on the maker's site before you buy. Sponsors never change a score or an order. How we calculate this · Report a mistake