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Head-to-head comparison

GPT-4o (2024-08-06) vs Qwen3 4B Instruct 2507

GPT-4o (2024-08-06) (OpenAI) and Qwen3 4B 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 9 September 2026

As of 9 September 2026, Qwen3 4B Instruct 2507 holds the stronger ModelCap Index position (#128 vs #132); Qwen3 4B Instruct 2507 offers the longer context window (262K vs 128K tokens); and Qwen3 4B Instruct 2507 ships open weights.

Which should you choose?

Choose GPT-4o (2024-08-06) if…

  • you want provider choice — 2 listed API providers against 0.

Choose Qwen3 4B Instruct 2507 if…

  • you want the stronger overall ModelCap Index position — #128 against #132 (31.9 vs 30.1 points).
  • you need the longer context window — 262K tokens against 128K.
  • you want to self-host: Qwen3 4B Instruct 2507 ships open weights while GPT-4o (2024-08-06) is api only.
  • you want the more recently listed model — Qwen3 4B Instruct 2507 was listed 5 August 2025, GPT-4o (2024-08-06) 6 August 2024.

GPT-4o (2024-08-06) vs Qwen3 4B Instruct 2507: specs, pricing and context

Specification comparison of GPT-4o (2024-08-06) and Qwen3 4B Instruct 2507
FieldGPT-4o (2024-08-06)OpenAIQwen3 4B Instruct 2507Qwen
ModelCap Index position#132#128
Index score30.131.9
EvidenceMeasuredEstimated
Input price / 1M tokens$2.50Unlisted
Output price / 1M tokens$10.00Unlisted
Context window128K tokens262K tokens
Max output tokens16K—
API providers listed20
Weight accessAPI onlyOpen weights
Input modalitiesText, Image, FileText
First listed6 August 20245 August 2025
PublisherOpenAIQwen

Evidence: 2 public benchmark observations across 2 boards · publisher-corpus-prior over 182 held-out anchors (19%); launch card against 2 resolved peers on 9 rows (81%); exceeds every named peer on 7 of 9 rows; no cross-lab optimism probe available; shrunk 4.1 up toward the measured corpus. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: GPT-4o (2024-08-06) vs Qwen3 4B Instruct 2507

Public benchmark boards where GPT-4o (2024-08-06) or Qwen3 4B Instruct 2507 has a published result
BoardGPT-4o (2024-08-06)Qwen3 4B Instruct 2507Leads
Arena codingArena (LMArena)13601352–1368—Only one result
BFCL V4UC Berkeley (Gorilla)—35.7Function callingOnly one result
AA τ²-Bench TelecomArtificial Analysis28.9%tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="GPT-4o (Aug)":reasoning=false—Only one result
AA Humanity's Last ExamArtificial Analysis2.3%hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="GPT-4o (Aug)":reasoning=false—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-4o (2024-08-06) vs Qwen3 4B Instruct 2507: common questions

Is GPT-4o (2024-08-06) better than Qwen3 4B Instruct 2507?

Qwen3 4B Instruct 2507 ranks higher on the ModelCap Index as of 9 September 2026: #128 against #132. 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. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.

Is GPT-4o (2024-08-06) cheaper than Qwen3 4B Instruct 2507?

At least one of the two has no listed API price on ModelCap right now, so no price comparison is made.

Which has the bigger context window, GPT-4o (2024-08-06) or Qwen3 4B Instruct 2507?

Qwen3 4B Instruct 2507 has the larger context window: 262K tokens against 128K.

Which is better for coding, GPT-4o (2024-08-06) or Qwen3 4B 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-4o (2024-08-06) and Qwen3 4B Instruct 2507 open-weight models?

GPT-4o (2024-08-06): API only. Qwen3 4B 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-4o (2024-08-06) and Qwen3 4B Instruct 2507?

ModelCap currently lists 2 API providers for GPT-4o (2024-08-06) and 0 for Qwen3 4B Instruct 2507, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this GPT-4o (2024-08-06) vs Qwen3 4B Instruct 2507 comparison?

Every figure comes from the sealed ModelCap dataset published 9 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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