Atlas / Models / Qwen / Qwen: Qwen3 235B A22B Instruct 2507

Qwen: Qwen3 235B A22B Instruct 2507✓ Catalog verified

qwen/qwen3-235b-a22b-2507

Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following, logical reasoning, math, code, and tool usage. The model supports a native 262K context length and does not implement "thinking mode" (<think> blocks). Compared to its base variant, this version delivers significant gains in knowledge coverage, long-context reasoning, coding benchmarks, and alignment with open-ended tasks. It is particularly strong on multilingual understanding, math reasoning (e.g., AIME, HMMT), and alignment evaluations like Arena-Hard and WritingBench.

Input price
$0.07 /1M
Output price
$0.10 /1M
Context
262K
Modalities
text
Released
Jul 21, 2025
Tool calling
✓ Yes
Atlas signal
92/100
01

Overview

Qwen3-235B-A22B-Instruct-2507 is a multilingual, instruction-tuned mixture-of-experts language model based on the Qwen3-235B architecture, with 22B active parameters per forward pass. It is optimized for general-purpose text generation, including instruction following, logical reasoning, math, code, and tool usage. The model supports a native 262K context length and does not implement "thinking mode" (<think> blocks). Compared to its base variant, this version delivers significant gains in knowledge coverage, long-context reasoning, coding benchmarks, and alignment with open-ended tasks. It is particularly strong on multilingual understanding, math reasoning (e.g., AIME, HMMT), and alignment evaluations like Arena-Hard and WritingBench.

Access: available through the official Qwen API. Context window: 262K.

Pricing and metadata from the ModelsAtlas catalog.Last refreshed Aug 5, 2026
02

Specifications

API identifierqwen/qwen3-235b-a22b-2507
ProviderQwen
Model typeText LLM
Context window262K catalog
Input modalitiestext
Output modalitiestext
ReleasedJul 21, 2025
TokenizerQwen3
ModeratedNo
Architecture modalitytext->text
Supported parameters
frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningreasoning_effortrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_p
Source: provider documentation + catalog feedMethodology →
03

Pricing

Live pricing components for qwen/qwen3-235b-a22b-2507 as published in the catalog.

$0.07
Input /1M
$0.10
Output /1M
Per request
Per image
Pricing componentRaw unit priceNormalizedUnit
Prompt tokens$7.1e-8$0.07 / 1MPer input token
Completion tokens$1e-7$0.10 / 1MPer output token
Request feeN/AN/APer request
Image feeN/AN/APer image unit
Web search feeN/AN/APer search request
Source: catalog pricing feedCompare all pricing →Cheapest models →
04

Cost calculator

Estimate monthly spend from your own token volumes.

Scale / Volume

Estimated Total Cost

$0.06Calculated from current list pricing in the ModelsAtlas catalog.
05

Capabilities

CapabilityStatusWhat it means
Visual UnderstandingNot advertisedImage and document analysis support
Audio ProcessingNot advertisedSpeech and voice aligned flows
Tool Calling✓ SupportedSupports tools / function calling
Self-Hosting✓ SupportedDeploy outside managed APIs
Derived from catalog capability tags and supported parameters
06

Capability signals

Directional signals derived from model metadata and capability tags — not official benchmark submissions.

Qwen: Qwen3 235B A22B Instruct 2507
MMLU Signal (Reasoning)
97signal
Coding Signal (HumanEval proxy)
97signal
Math Signal (GSM8K proxy)
92signal
Science Signal (GPQA proxy)
83signal
Estimated from metadata — not an official benchmark runAll benchmarks →Methodology →
07

Quick start

Call Qwen: Qwen3 235B A22B Instruct 2507 through an OpenAI-compatible client.

from openai import OpenAI

client = OpenAI(
    base_url="https://openrouter.ai/api/v1",
    api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
    model="qwen/qwen3-235b-a22b-2507",
    messages=[{"role": "user", "content": "Explain quantum physics."}]
)

print(response.choices[0].message.content)
08

Alternatives

Closest models by context window from a different provider.

09

Sources & attribution

Pricing and metadata are maintained in the ModelsAtlas catalog.

Capability bars use metadata tags — directional estimates onlyHow we source and verify data →
10

Frequently asked questions

How much does Qwen: Qwen3 235B A22B Instruct 2507 cost?

$0.07 per 1M input tokens and $0.10 per 1M output tokens on the official Qwen API.

What is the context window of Qwen: Qwen3 235B A22B Instruct 2507?

Qwen: Qwen3 235B A22B Instruct 2507 supports up to 262K tokens of context.

Does Qwen: Qwen3 235B A22B Instruct 2507 support tool / function calling?

Yes, Qwen: Qwen3 235B A22B Instruct 2507 supports tool / function calling — you can register tools and the model will emit structured tool calls.

How do I access Qwen: Qwen3 235B A22B Instruct 2507?

Use the official Qwen API with the model id `qwen/qwen3-235b-a22b-2507`. See the Quick start section above for code examples.