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Head-to-head comparison

GPT-5.4 Nano vs Qwen3 VL 235B A22B Instruct

GPT-5.4 Nano (OpenAI) and Qwen3 VL 235B A22B Instruct (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 3 September 2026

As of 3 September 2026, GPT-5.4 Nano holds the stronger ModelCap Index position (#47 vs #56); GPT-5.4 Nano is 1.5× cheaper per output token ($1.25/1M vs $1.90/1M); GPT-5.4 Nano offers the longer context window (400K vs 262K tokens); and Qwen3 VL 235B A22B Instruct ships open weights.

Which should you choose?

Choose GPT-5.4 Nano if…

  • you want the stronger overall ModelCap Index position — #47 against #56 (51.7 vs 46.5 points).
  • API cost matters — $1.25/1M output tokens against $1.90/1M, about 1.5× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.20/1M against $0.21/1M.
  • you need the longer context window — 400K tokens against 262K.
  • AA Intelligence Index is your yardstick — 39.7 against 14.4.
  • AA τ²-Bench Telecom is your yardstick — 76.0% against 35.1%.
  • AA Humanity's Last Exam is your yardstick — 28.3% against 6.6%.
  • you want the more recently listed model — GPT-5.4 Nano was listed 17 March 2026, Qwen3 VL 235B A22B Instruct 23 September 2025.

Choose Qwen3 VL 235B A22B Instruct if…

  • you want to self-host: Qwen3 VL 235B A22B Instruct ships open weights while GPT-5.4 Nano is api only.
  • you want provider choice — 5 listed API providers against 2.
  • Arena coding is your yardstick — 1464 against 1460.

GPT-5.4 Nano vs Qwen3 VL 235B A22B Instruct: specs, pricing and context

Specification comparison of GPT-5.4 Nano and Qwen3 VL 235B A22B Instruct
FieldGPT-5.4 NanoOpenAIQwen3 VL 235B A22B InstructQwen
ModelCap Index position#47#56
Index score51.746.5
EvidenceMeasuredMeasured
Input price / 1M tokens$0.20$0.21
Output price / 1M tokens$1.25$1.90
Context window400K tokens262K tokens
Max output tokens128K33K
API providers listed25
Weight accessAPI onlyOpen weights
Input modalitiesFile, Image, TextText, Image
First listed17 March 202623 September 2025
PublisherOpenAIQwen

Evidence: 4 public benchmark observations across 4 boards · 3 public benchmark observations across 3 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: GPT-5.4 Nano vs Qwen3 VL 235B A22B Instruct

Public benchmark boards where GPT-5.4 Nano or Qwen3 VL 235B A22B Instruct has a published result
BoardGPT-5.4 NanoQwen3 VL 235B A22B InstructLeads
Arena codingArena (LMArena)14601454–1466High14641451–1477Qwen3 VL 235B A22B Instruct
ARC-AGI-2ARC Prize Foundation5.7%X-High—Only one result
AA Intelligence IndexArtificial Analysis39.7intelligence-index14.4intelligence-indexGPT-5.4 Nano
AA Terminal-Bench 2.1Artificial Analysis60.7%terminal-bench-2.1—Only one result
AA τ²-Bench TelecomArtificial Analysis76.0%tau2-bench-telecom35.1%tau2-bench-telecomGPT-5.4 Nano
AA Humanity's Last ExamArtificial Analysis28.3%humanitys-last-exam6.6%humanitys-last-examGPT-5.4 Nano

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-5.4 Nano vs Qwen3 VL 235B A22B Instruct: common questions

Is GPT-5.4 Nano better than Qwen3 VL 235B A22B Instruct?

GPT-5.4 Nano ranks higher on the ModelCap Index as of 3 September 2026: #47 against #56. 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-5.4 Nano cheaper than Qwen3 VL 235B A22B Instruct?

GPT-5.4 Nano is cheaper on output tokens: $1.25/1M against $1.90/1M. Input tokens are $0.20/1M for GPT-5.4 Nano and $0.21/1M for Qwen3 VL 235B A22B Instruct. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens.

Which has the bigger context window, GPT-5.4 Nano or Qwen3 VL 235B A22B Instruct?

GPT-5.4 Nano has the larger context window: 400K tokens against 262K.

Which is better for coding, GPT-5.4 Nano or Qwen3 VL 235B A22B Instruct?

Arena coding: GPT-5.4 Nano 1460, Qwen3 VL 235B A22B Instruct 1464 — Qwen3 VL 235B A22B Instruct leads.

Are GPT-5.4 Nano and Qwen3 VL 235B A22B Instruct open-weight models?

GPT-5.4 Nano: API only. Qwen3 VL 235B A22B Instruct: 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-5.4 Nano and Qwen3 VL 235B A22B Instruct?

ModelCap currently lists 2 API providers for GPT-5.4 Nano and 5 for Qwen3 VL 235B A22B Instruct, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this GPT-5.4 Nano vs Qwen3 VL 235B A22B Instruct comparison?

Every figure comes from the sealed ModelCap dataset published 3 September 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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