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Head-to-head comparison

GPT-5.3-Codex vs Qwen3 30B A3B Instruct 2507

GPT-5.3-Codex (OpenAI) and Qwen3 30B A3B Instruct 2507 (Qwen) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.

Snapshot as of 18 August 2026

As of 18 August 2026, GPT-5.3-Codex holds the stronger ModelCap Index position (#20 vs #60); Qwen3 30B A3B Instruct 2507 is 72.5× cheaper per output token ($0.193/1M vs $14.00/1M); GPT-5.3-Codex offers the longer context window (400K vs 262K tokens); and Qwen3 30B A3B Instruct 2507 ships open weights.

Which should you choose?

Choose GPT-5.3-Codex if…

  • you want the stronger overall ModelCap Index position — #20 against #60 (66.4 vs 42.4 points).
  • you need the longer context window — 400K tokens against 262K.
  • you want the more recently listed model — GPT-5.3-Codex was listed 24 February 2026, Qwen3 30B A3B Instruct 2507 29 July 2025.

Choose Qwen3 30B A3B Instruct 2507 if…

  • API cost matters — $0.193/1M output tokens against $14.00/1M, about 72.5× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.048/1M against $1.75/1M.
  • you want to self-host: Qwen3 30B A3B Instruct 2507 ships open weights while GPT-5.3-Codex is api only.
  • you want provider choice — 5 listed API providers against 2.

GPT-5.3-Codex vs Qwen3 30B A3B Instruct 2507: specs, pricing and context

Specification comparison of GPT-5.3-Codex and Qwen3 30B A3B Instruct 2507
FieldGPT-5.3-CodexOpenAIQwen3 30B A3B Instruct 2507Qwen
ModelCap Index position#20#60
Index score66.442.4
EvidenceMeasuredMeasured
Input price / 1M tokens$1.75$0.048
Output price / 1M tokens$14.00$0.193
Context window400K tokens262K tokens
Max output tokens128K32K
API providers listed25
Weight accessAPI onlyOpen weights
Input modalitiesText, Image, FileText
First listed24 February 202629 July 2025
PublisherOpenAIQwen

Evidence: 1 public benchmark observation across 1 board · 2 public benchmark observations across 2 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: GPT-5.3-Codex vs Qwen3 30B A3B Instruct 2507

Public benchmark boards where GPT-5.3-Codex or Qwen3 30B A3B Instruct 2507 has a published result
BoardGPT-5.3-CodexQwen3 30B A3B Instruct 2507Leads
Arena codingArena (LMArena)—14401431–1448Only one result
BFCL V4UC Berkeley (Gorilla)—41.4Function callingOnly one result
Artificial Analysis Intelligence IndexArtificial Analysis45.5intelligence-index—Only one result

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

GPT-5.3-Codex vs Qwen3 30B A3B Instruct 2507: common questions

Is GPT-5.3-Codex better than Qwen3 30B A3B Instruct 2507?

GPT-5.3-Codex ranks higher on the ModelCap Index as of 18 August 2026: #20 against #60. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it.

Is GPT-5.3-Codex cheaper than Qwen3 30B A3B Instruct 2507?

Qwen3 30B A3B Instruct 2507 is cheaper on output tokens: $0.193/1M against $14.00/1M. Input tokens are $1.75/1M for GPT-5.3-Codex and $0.048/1M for Qwen3 30B A3B Instruct 2507. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens.

Which has the bigger context window, GPT-5.3-Codex or Qwen3 30B A3B Instruct 2507?

GPT-5.3-Codex has the larger context window: 400K tokens against 262K.

Which is better for coding, GPT-5.3-Codex or Qwen3 30B A3B Instruct 2507?

The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.

Are GPT-5.3-Codex and Qwen3 30B A3B Instruct 2507 open-weight models?

GPT-5.3-Codex: API only. Qwen3 30B A3B Instruct 2507: Open weights. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.

Where can I run GPT-5.3-Codex and Qwen3 30B A3B Instruct 2507?

ModelCap currently lists 2 API providers for GPT-5.3-Codex and 5 for Qwen3 30B A3B Instruct 2507, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this GPT-5.3-Codex vs Qwen3 30B A3B Instruct 2507 comparison?

Every figure comes from the sealed ModelCap dataset published 18 August 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.

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