Model comparison
GPT-5.3-Codex vs Qwen 3.7 Max
OpenAI against Qwen, compared on context, price, and verified benchmark results.
Catalog record checked September 3, 2026Individual provider fields may changeEvidence confidence: High — see receipts below
OpenAI
GPT-5.3-Codex
Frontier
Qwen
Qwen 3.7 Max
Frontier
| Specification | GPT-5.3-Codex | Qwen 3.7 Max |
|---|---|---|
| Provider | OpenAI | Qwen |
| Tier | Frontier | Frontier |
| Context window | 400K | Winner: 1M |
| Max output | 128K | 128K |
| Input / 1M tokens | Winner: $1.75 | $2.50 |
| Output / 1M tokens | $14 | Winner: $7.50 |
| Weights | Closed | Closed |
| Parameters | Not disclosedUnverified | proprietary MoE |
| Reasoning levels | none, low, medium, high, xhigh, max | low, high, max |
| Modalities | text, image | text, image, video |
| API model id | gpt-5.3-codex | qwen3.7-max |
| Released | February 5, 2026 | May 20, 2026 |
| Artificial Analysis Intelligence Index [high] (2026-08-14) | 52 | Not verifiedUnverified |
| Artificial Analysis Intelligence Index (2026-08-14) | Not verifiedUnverified | 55 |
Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Bold indicates the better figure where one is objectively better. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.
Benchmark receipts
- 2026-08-14: Artificial AnalysisComposite index blending reasoning, knowledge, and coding evals into one 0–100 score. Comparability: directly comparable — AA occasionally rebaselines the index scale between snapshots — a score captured on one date is only comparable to same-snapshot scores (check measuredAt).
Pricing tiers: GPT-5.3-Codex: Standard $1.75/$14 per MTok; cached input $0.175/MTok; Fast mode $3.50/$28. Purpose-built for the Codex agent. · Qwen 3.7 Max: Model Studio list $2.50/$7.50 per MTok; a 50%-off promo ($1.25/$3.75) ran at launch. Closed API.
GPT-5.3-Codex
GPT-5.3-Codex is OpenAI's coding-specialised model powering the Codex agent at $1.75/$14.
Best for
- Autonomous coding
- Repo-scale refactors
- Test generation
Watch out
Tuned for coding, not general chat; use GPT-5.6 for broad reasoning.
Qwen 3.7 Max
Qwen 3.7 Max is Alibaba's previous-generation proprietary flagship with a 1M-token context.
Best for
- API-only multimodal
- Long-context
- Enterprise
Watch out
Closed/proprietary; no published weights. Succeeded by Qwen 3.8 Max.
When the cheaper one wins
Qwen 3.7 Max is cheaper on output at $7.50 per million tokens against $14 for GPT-5.3-Codex — about 1.9×. Use the cheaper tier for classification, extraction, summarisation, and any task where the expensive model’s extra score does not change the accepted output. The expensive one only pays if your hardest task actually fails on the cheap tier. These are standard-tier API rates, excluding batch and cache discounts.
Run the model pickerEvidence confidence: High
How strong and complete the evidence behind this comparison is — not a prediction of which model is better.
- Pricing verified on both sides — Input and output rates are verified for both models.
- 4/5 core specs verified on both sides — Not published for at least one side: parameter count.
- 1 shared named benchmark with differing scores — Measured on: Artificial Analysis Intelligence Index.
- Verified within the last 90 days — Newest catalog check was 8 days ago.
- Both models carry source citations — Each side has at least two catalog sources on record.
Source receipts
Each catalog figure was checked against the provider or an independent second source on the date shown.
- GPT-5.3-Codex: OpenAI — Introducing GPT-5.3-Codex (accessed 2026-08-29)
- GPT-5.3-Codex: OpenAI API pricing (gpt-5.3-codex $1.75/$14) (accessed 2026-08-29)
- Qwen 3.7 Max: Alibaba Cloud — Qwen3.7: The Agent Frontier (accessed 2026-08-29)
- Qwen 3.7 Max: Alibaba Cloud Model Studio (accessed 2026-08-29)
Related comparisons
- Claude Fable 5.1 vs GPT-5.3-Codex
- Claude Fable 5.1 vs Qwen 3.7 Max
- Claude Fable 5 vs GPT-5.3-Codex
- Claude Fable 5 vs Qwen 3.7 Max
- Claude Mythos 5.1 vs GPT-5.3-Codex
- Claude Mythos 5.1 vs Qwen 3.7 Max
Diving deeper on one model? GPT-5.3-Codex · Qwen 3.7 Max
Common questions
GPT-5.3-Codex vs Qwen 3.7 Max
Answered from the verified figures on this page rather than general guidance.
Is GPT-5.3-Codex or Qwen 3.7 Max cheaper for input?
GPT-5.3-Codex is cheaper at $1.75 per million input tokens, against $2.50 for Qwen 3.7 Max — roughly 1.4× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; GPT-5.3-Codex has tiered pricing: Standard $1.75/$14 per MTok; cached input $0.175/MTok; Fast mode $3.50/$28. Purpose-built for the Codex agent. Qwen 3.7 Max has tiered pricing: Model Studio list $2.50/$7.50 per MTok; a 50%-off promo ($1.25/$3.75) ran at launch. Closed API.
Is GPT-5.3-Codex or Qwen 3.7 Max cheaper for output?
Qwen 3.7 Max is cheaper at $7.50 per million output tokens, against $14 for GPT-5.3-Codex — roughly 1.9× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; GPT-5.3-Codex has tiered pricing: Standard $1.75/$14 per MTok; cached input $0.175/MTok; Fast mode $3.50/$28. Purpose-built for the Codex agent. Qwen 3.7 Max has tiered pricing: Model Studio list $2.50/$7.50 per MTok; a 50%-off promo ($1.25/$3.75) ran at launch. Closed API.
Which has the larger context window, GPT-5.3-Codex or Qwen 3.7 Max?
Qwen 3.7 Max accepts 1M tokens against 400K for GPT-5.3-Codex. This only matters if you routinely send very long documents or large codebases.
Do GPT-5.3-Codex and Qwen 3.7 Max support the same reasoning levels?
GPT-5.3-Codex exposes none, low, medium, high, xhigh, max, while Qwen 3.7 Max exposes low, high, max.
Should I use GPT-5.3-Codex or Qwen 3.7 Max?
Both sit in the frontier tier, so the choice usually comes down to price and context rather than capability. GPT-5.3-Codex suits autonomous coding; Qwen 3.7 Max suits api-only multimodal.
Next step
Choosing between them
The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.
- Input price: GPT-5.3-Codex costs $1.75 per 1M tokens versus $2.50 for Qwen 3.7 Max — a 1.4x difference at the headline tier.
- Context: Qwen 3.7 Max takes 1M against 400K for GPT-5.3-Codex — only decisive if your prompts approach the smaller window.
- Measured capability: Qwen 3.7 Max leads Artificial Analysis Intelligence Index 55 to 52 (measured 2026-08-14).
Choosing a harness rather than a model — Cursor, Copilot, Claude Code, Windsurf, or Lovable? Compare agentic harnesses · Latest releases.