AI model comparison

GPT-5 Nano vs Qwen3 235B A22B Instruct 2507

Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.

GPT-5-Nano is the smallest and fastest variant in the GPT-5 system, optimized for developer tools, rapid interactions, and ultra-low latency environments.

Input / 1M
$0.05
Output / 1M
$0.40
Context
400K

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.

Input / 1M
$0.09
Output / 1M
$0.55
Context
262K

At a glance

Quick verdict

How the two models stack up on the things people ask about most.

Lower price

openai logo

GPT-5 Nano

1.5x cheaper for a typical chat

Higher intelligence score

openai logo

GPT-5 Nano

13 vs 12 on Artificial Analysis

Larger context window

openai logo

GPT-5 Nano

400K vs 262K tokens

Newer release

openai logo

GPT-5 Nano

Released August 7, 2025

Benchmarks

Benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

openai logoGPT-5 Nano13
qwen logoQwen3 235B A22B Instruct 250712

Coding index

openai logoGPT-5 NanoNot available
qwen logoQwen3 235B A22B Instruct 2507Not available

Agentic index

openai logoGPT-5 NanoNot available
qwen logoQwen3 235B A22B Instruct 2507Not available

Pricing

GPT-5 Nano vs Qwen3 235B A22B Instruct 2507 API pricing

Per-token API rates. Cheaper option highlighted.

Metricopenai logoGPT-5 Nanoqwen logoQwen3 235B A22B Instruct 2507
Input tokensPer 1M tokens$0.05$0.09
Output tokensPer 1M tokens$0.40$0.55
Cached input (read)Per 1M tokens$0.01Not available
Cache writePer 1M tokensNot availableNot available
Web searchPer request$0.01Not available

What it costs in practice

Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.

Chat message

2K in, 500 out

openai logoGPT-5 Nano$0.30
qwen logoQwen3 235B A22B Instruct 2507$0.46

Coding task

30K in, 4K out

openai logoGPT-5 Nano$3.10$1.75 cached
qwen logoQwen3 235B A22B Instruct 2507$4.90

Long document summary

150K in, 2K out

openai logoGPT-5 Nano$8.30$1.55 cached
qwen logoQwen3 235B A22B Instruct 2507$14.60

Specs

Context window and capabilities

How much each model can read, how much it can write, and what it accepts as input.

Metricopenai logoGPT-5 Nanoqwen logoQwen3 235B A22B Instruct 2507
Context window400K tokens262K tokens
Max output128K tokens16K tokens
Input typesFile, Image, TextText
Output typesTextText
Reasoning effort levelsHigh, Medium, Low, MinimalNot available
Default reasoning effortMediumNot available
Release dateAugust 7, 2025July 21, 2025

Features

Supported features

API features available for each model.

Metricopenai logoGPT-5 Nanoqwen logoQwen3 235B A22B Instruct 2507
Tool callingSupportedSupported
Structured outputsSupportedSupported
JSON modeSupportedSupported
ReasoningSupportedNot supported
TemperatureNot supportedSupported
Stop sequencesNot supportedSupported
Deterministic seedSupportedSupported
Verbosity controlSupportedNot supported

Our take

GPT-5 Nano is 1.5x cheaper for a typical chat. GPT-5 Nano scores higher on the Artificial Analysis Intelligence Index (13 vs 12). GPT-5 Nano has the larger context window (400K vs 262K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.

FAQ

Frequently asked questions

Is GPT-5 Nano or Qwen3 235B A22B Instruct 2507 cheaper?

GPT-5 Nano is cheaper for a typical chat (2K input tokens and 500 output tokens). GPT-5 Nano costs $0.05 per 1M input tokens and $0.40 per 1M output tokens, while Qwen3 235B A22B Instruct 2507 costs $0.09 per 1M input tokens and $0.55 per 1M output tokens.

Which has a bigger context window, GPT-5 Nano or Qwen3 235B A22B Instruct 2507?

GPT-5 Nano supports up to 400K tokens of context, compared with 262K for Qwen3 235B A22B Instruct 2507.

Is GPT-5 Nano smarter than Qwen3 235B A22B Instruct 2507?

On the Artificial Analysis Intelligence Index, GPT-5 Nano scores 13 and Qwen3 235B A22B Instruct 2507 scores 12, putting GPT-5 Nano ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.

Can I use GPT-5 Nano and Qwen3 235B A22B Instruct 2507 at the same time?

Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GPT-5 Nano and Qwen3 235B A22B Instruct 2507 answer side by side and keep the better response.

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Why choose? Ask both.

Send one prompt to GPT-5 Nano and Qwen3 235B A22B Instruct 2507 at the same time. Compare the answers side by side and keep the best one.