Models

GPT-5.3-Codex vs Qwen3.8 Max Preview

Compare GPT-5.3-Codex from OpenAI and Qwen3.8 Max Preview from Qwen on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.

OpenAIGPT-5.3-CodexQwenQwen3.8 Max Preview
OpenAI logo
GPT-5.3-Codex
OpenAI · text, image → text

GPT-5.3-Codex is optimized for agentic coding tasks in Codex or similar environments. GPT-5.3-Codex supports low, medium, high, and xhigh reasoning effort settings. If you want to learn more about prompting GPT-5.3-Codex, refer to our dedicated guide.

Input$1.75 /M
Output$14.00 /M
Qwen logo
Qwen3.8 Max Preview
Qwen · text, image → text

Qwen 3.8 Max Preview(Qwen3.8-Max-Preview) is the latest-generation foundation model in the Qwen family, packing 2.4T parameters and still evolving. Compared with the previous flagship Qwen 3.7 Max, it delivers major gains in core capabilities like Coding and Cowork (professional productivity), with world-leading performance on complex, long-horizon tasks such as full-stack development, data analysis, and Office workflows. Launch offer: Credits are consumed at just 20% of the standard rate, effectively 5× your usage. Limited time only.

Input$0.34 /M
Output$1.01 /M

Pricing & Specifications

Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.

GPT-5.3-Codex
Qwen3.8 Max Preview
Input /M
$1.75
$0.34
Output /M
$14.00
$1.01
Cache read /M
$0.18
$0.03
Context length
400,000
983,616
Max output
128,000
131,072
Time to First Token
3.7 s
2.4 s
Throughput
60.0 tok/s
48.1 tok/s
Modalities
textimage
textimage
Supported Parameters
thinkingfunction callingstructured outputs
toolsfunction callingstructured outputsweblong contextthinking
API Formats
Released
-
-

Promotional prices show the discounted rate; see each model page for promotion windows.

Activity Past 30 Days

Daily traffic served through AIHubMix — how demand for each model is trending.

gpt-5.3-codexqwen3.8-max-preview

Tokens / day

-

Requests / day

-

Performance Past 3 Days

Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.

gpt-5.3-codexqwen3.8-max-preview

Throughput (tok/s)

-

TTFT (s)

-

Uptime (%)

-

LMArena Benchmarks

LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.

WebDev Arena
gpt-5.3-codexqwen3.8-max-preview
1340146015801700
Overall
13711669
React
13591678
HTML
14191628
Gaming
17331733
Simulations
16651665
Data analytics
16141614

Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.

Cost calculator

Estimate your monthly bill for the same workload on each model.

Qwen3.8 Max Preview
$35.49 /mo
GPT-5.3-Codex
$315 /mo

Monthly = daily × 30. Discounted rates applied where a promotion is active.

FAQ

Which is cheaper: GPT-5.3-Codex, Qwen3.8 Max Preview?

Qwen3.8 Max Preview: $1.01/M output tokens; GPT-5.3-Codex: $14.00/M. Use the cost calculator above to estimate your own workload.

Which responds faster?

Qwen3.8 Max Preview: 2.4s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.

How large is each context window?

GPT-5.3-Codex accepts 400,000 and Qwen3.8 Max Preview accepts 983,616 input tokens. Maximum output per request is 128,000 tokens on GPT-5.3-Codex and 131,072 tokens on Qwen3.8 Max Preview.

Which one generates tokens faster?

GPT-5.3-Codex at 60.0 tok/s and Qwen3.8 Max Preview at 48.1 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.

What inputs and capabilities does each model support?

GPT-5.3-Codex accepts text and image input and supports thinking, function calling and structured outputs; Qwen3.8 Max Preview accepts text and image input and supports tool calling, function calling, structured outputs, web search, long context and thinking.

Can I call GPT-5.3-Codex and Qwen3.8 Max Preview with the same API key?

Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.

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