qwen3.8-max vs gpt-5.3-codex
Side-by-side comparison of qwen3.8-max and gpt-5.3-codex: benchmarks, pricing, context window and capabilities. Both are accessible through Requesty's unified API. qwen3.8-max outperforms gpt-5.3-codex on 3 of 3 shared benchmarks.
qwen3.8-max
Input / 1M
$2.00
Output / 1M
$6.00
Context
1.0M
Model ID
alibaba/qwen3.8-max
gpt-5.3-codex
Input / 1M
$1.75
Output / 1M
$14.00
Context
400K
Model ID
openai-responses/gpt-5.3-codex
Benchmark comparison
Intelligence Indexreasoning
qwen3.8-max46.9%
gpt-5.3-codex36.9%
Coding Indexcoding
qwen3.8-max71.8%
gpt-5.3-codexN/A
GPQA Diamondreasoning
qwen3.8-max92.7%
gpt-5.3-codex91.5%
Terminal-Bench Hardagentic
qwen3.8-maxN/A
gpt-5.3-codex53.0%
τ²-Benchagentic
qwen3.8-maxN/A
gpt-5.3-codex86.0%
SciCodecoding
qwen3.8-max53.2%
gpt-5.3-codexN/A
Humanity's Last Examreasoning
qwen3.8-max43.0%
gpt-5.3-codex42.5%
Scores sourced from official model cards, Artificial Analysis, and public leaderboards. Benchmarks measure specific skills and don't capture every aspect of model quality.
Pricing & specifications
| qwen3.8-max | gpt-5.3-codex | |
|---|---|---|
| Input price / 1M | $2.00 | $1.75 |
| Output price / 1M | $6.00 | $14.00 |
| Context window | 1.0M tokens | 400K tokens |
| Max output | 131K tokens | 128K tokens |
| Vision input | N/A | Yes |
| Tool calling | Yes | Yes |
| Reasoning | Yes | Yes |
| Prompt caching | Yes | Yes |
| Computer use | N/A | N/A |
| Provider | Alibaba Cloud | OpenAI Responses |
Questions people ask
Is qwen3.8-max better than gpt-5.3-codex?
qwen3.8-max outperforms gpt-5.3-codex on 3 of 3 shared benchmarks. See the benchmark comparison above for specifics: qwen3.8-max and gpt-5.3-codex have different strengths across reasoning, coding, math and multimodal tasks.
Which is cheaper, qwen3.8-max or gpt-5.3-codex?
qwen3.8-max is cheaper. qwen3.8-max costs $2.00/$6.00 per 1M input/output tokens, while gpt-5.3-codex costs $1.75/$14.00.
Can I use qwen3.8-max and gpt-5.3-codex through the same API?
Yes. Requesty provides a single OpenAI-compatible API that routes to both. Change just the "model" parameter to switch between "alibaba/qwen3.8-max" and "openai-responses/gpt-5.3-codex", no other code changes needed.
What are the context windows?
qwen3.8-max supports up to 1.0M tokens of context. gpt-5.3-codex supports up to 400K tokens. Longer context means you can feed larger documents or codebases in a single prompt, though quality often degrades past 128K for most models.
Switch between qwen3.8-max and gpt-5.3-codex with one line of code
Requesty provides a single OpenAI-compatible API for 600+ models. Change the model parameter, not your code.