Model Comparison

GPT-5.3 Codex vs Qwen3 30B A3B

Comparing GPT-5.3 Codex and Qwen3 30B A3B across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GPT-5.3 Codex and Qwen3 30B A3B don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 30B A3B costs less

For input processing, GPT-5.3 Codex ($1.75/1M tokens) is 17.5x more expensive than Qwen3 30B A3B ($0.10/1M tokens).

For output processing, GPT-5.3 Codex ($14.00/1M tokens) is 46.7x more expensive than Qwen3 30B A3B ($0.30/1M tokens).

In conclusion, GPT-5.3 Codex is more expensive than Qwen3 30B A3B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
OpenAI
GPT-5.3 Codex
Input tokens$1.75
Output tokens$14.00
Best providerOpenAI
Alibaba Cloud / Qwen Team
Qwen3 30B A3B
Input tokens$0.10
Output tokens$0.30
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5.3 Codex accepts 400,000 input tokens compared to Qwen3 30B A3B's 128,000 tokens. Both models can generate responses up to 128,000 tokens.

OpenAI
GPT-5.3 Codex
Input400,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 30B A3B
Input128,000 tokens
Output128,000 tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GPT-5.3 Codex supports multimodal inputs, whereas Qwen3 30B A3B does not.

GPT-5.3 Codex can handle both text and other forms of data like images, making it suitable for multimodal applications.

GPT-5.3 Codex

Text
Images
Audio
Video

Qwen3 30B A3B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.3 Codex is licensed under a proprietary license, while Qwen3 30B A3B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-5.3 Codex

Proprietary

Closed source

Qwen3 30B A3B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5.3 Codex was released on 2026-02-05, while Qwen3 30B A3B was released on 2025-04-29.

GPT-5.3 Codex is 9 months newer than Qwen3 30B A3B.

GPT-5.3 Codex

Feb 5, 2026

2 months ago

9mo newer
Qwen3 30B A3B

Apr 29, 2025

11 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

GPT-5.3 Codex is available from OpenAI. Qwen3 30B A3B is available from DeepInfra, Novita, Fireworks.

GPT-5.3 Codex

openai logo
OpenAI
Input Price:Input: $1.75/1MOutput Price:Output: $14.00/1M

Qwen3 30B A3B

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
novita logo
Novita
Input Price:Input: $0.10/1MOutput Price:Output: $0.44/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Larger context window (400,000 tokens)
Supports multimodal inputs
Alibaba Cloud / Qwen Team

Qwen3 30B A3B

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5.3 Codex
Alibaba Cloud / Qwen Team
Qwen3 30B A3B

FAQ

Common questions about GPT-5.3 Codex vs Qwen3 30B A3B

GPT-5.3 Codex (OpenAI) and Qwen3 30B A3B (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
GPT-5.3 Codex scores SWE-Lancer (IC-Diamond subset): 81.4%, Cybersecurity CTFs: 77.6%, Terminal-Bench 2.0: 77.3%, OSWorld-Verified: 64.7%, SWE-Bench Pro: 56.8%. Qwen3 30B A3B scores Arena Hard: 91.0%, AIME 2024: 80.4%, LiveBench: 74.3%, Multi-IF: 72.2%, AIME 2025: 70.9%.
Qwen3 30B A3B is 17.5x cheaper for input tokens. GPT-5.3 Codex costs $1.75/M input and $14.00/M output via openai. Qwen3 30B A3B costs $0.10/M input and $0.30/M output via deepinfra.
GPT-5.3 Codex supports 400K tokens and Qwen3 30B A3B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (400K vs 128K), input pricing ($1.75 vs $0.10/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
GPT-5.3 Codex is developed by OpenAI and Qwen3 30B A3B is developed by Alibaba Cloud / Qwen Team.