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Head-to-head comparison

GPT-4o (2024-08-06) vs Qwen3 VL 8B Thinking

GPT-4o (2024-08-06) (OpenAI) and Qwen3 VL 8B Thinking (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, Qwen3 VL 8B Thinking holds the stronger ModelCap Index position (#109 vs #110); Qwen3 VL 8B Thinking is 4.8× cheaper per output token ($2.10/1M vs $10.00/1M); Qwen3 VL 8B Thinking offers the longer context window (131K vs 128K tokens); and Qwen3 VL 8B Thinking ships open weights.

Which should you choose?

Choose GPT-4o (2024-08-06) if…

  • you want provider choice — 2 listed API providers against 1.

Choose Qwen3 VL 8B Thinking if…

  • you want the stronger overall ModelCap Index position — #109 against #110 (24.4 vs 24.2 points).
  • API cost matters — $2.10/1M output tokens against $10.00/1M, about 4.8× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.18/1M against $2.50/1M.
  • you need the longer context window — 131K tokens against 128K.
  • you want to self-host: Qwen3 VL 8B Thinking ships open weights while GPT-4o (2024-08-06) is api only.
  • you want the more recently listed model — Qwen3 VL 8B Thinking was listed 14 October 2025, GPT-4o (2024-08-06) 6 August 2024.

GPT-4o (2024-08-06) vs Qwen3 VL 8B Thinking: specs, pricing and context

Specification comparison of GPT-4o (2024-08-06) and Qwen3 VL 8B Thinking
FieldGPT-4o (2024-08-06)OpenAIQwen3 VL 8B ThinkingQwen
ModelCap Index position#110#109
Index score24.224.4
EvidenceMeasuredEstimated
Input price / 1M tokens$2.50$0.18
Output price / 1M tokens$10.00$2.10
Context window128K tokens131K tokens
Max output tokens16K33K
API providers listed21
Weight accessAPI onlyOpen weights
Input modalitiesText, Image, FileImage, Text
First listed6 August 202414 October 2025
PublisherOpenAIQwen

Evidence: 3 public benchmark observations across 3 boards · publisher corpus prior · leave-one-anchor-out calibrated. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: GPT-4o (2024-08-06) vs Qwen3 VL 8B Thinking

Public benchmark boards where GPT-4o (2024-08-06) or Qwen3 VL 8B Thinking has a published result
BoardGPT-4o (2024-08-06)Qwen3 VL 8B ThinkingLeads
Arena codingArena (LMArena)13601352–1368—Only one result
AA Intelligence IndexArtificial Analysis9.4intelligence-index—Only one result
AA τ²-Bench TelecomArtificial Analysis28.9%tau2-bench-telecom—Only one result
AA Humanity's Last ExamArtificial Analysis2.3%humanitys-last-exam—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 VL 8B Thinking: common questions

Is GPT-4o (2024-08-06) better than Qwen3 VL 8B Thinking?

Qwen3 VL 8B Thinking ranks higher on the ModelCap Index as of 3 September 2026: #109 against #110. 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-4o (2024-08-06) cheaper than Qwen3 VL 8B Thinking?

Qwen3 VL 8B Thinking is cheaper on output tokens: $2.10/1M against $10.00/1M. Input tokens are $2.50/1M for GPT-4o (2024-08-06) and $0.18/1M for Qwen3 VL 8B Thinking. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens.

Which has the bigger context window, GPT-4o (2024-08-06) or Qwen3 VL 8B Thinking?

Qwen3 VL 8B Thinking has the larger context window: 131K tokens against 128K.

Which is better for coding, GPT-4o (2024-08-06) or Qwen3 VL 8B Thinking?

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 VL 8B Thinking open-weight models?

GPT-4o (2024-08-06): API only. Qwen3 VL 8B Thinking: 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 VL 8B Thinking?

ModelCap currently lists 2 API providers for GPT-4o (2024-08-06) and 1 for Qwen3 VL 8B Thinking, 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 VL 8B Thinking 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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