LLM·Dex

GPT-4o mini vs Qwen2.5-7B

A complete head-to-head: pricing, context window, benchmarks, modality coverage, and openness, with a programmatic verdict synthesized from the underlying data.

Updated

GPT-4o mini specs · Qwen2.5-7B specs
Verdict by category
  • PriceGPT-4o mini

    GPT-4o mini publishes pricing ($0.60 / 1M output tokens) while Qwen2.5-7B does not.

  • Context windowTie

    Both ship a 128K-token context window.

  • BenchmarksTie

    No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores.

  • ModalitiesGPT-4o mini

    GPT-4o mini supports 2 modalities (text, vision) vs 1 for Qwen2.5-7B.

  • OpennessQwen2.5-7B

    Qwen2.5-7B ships open weights (Apache-2.0); GPT-4o mini is API-only.

On balance GPT-4o mini edges ahead, winning 2 of 5 categories against Qwen2.5-7B's 1. GPT-4o mini publishes pricing ($0.60 / 1M output tokens) while Qwen2.5-7B does not. Both ship a 128K-token context window.

No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores. They differ in modality coverage, GPT-4o mini handles text, vision while Qwen2.5-7B handles text, which can be the deciding factor before you even look at benchmarks. Qwen2.5-7B ships open weights (Apache-2.0); GPT-4o mini is API-only.

Qwen2.5-7B is the newer of the two, released 2 months after GPT-4o mini, which usually means a more recent knowledge cutoff and updated safety post-training. GPT-4o mini is usually picked for customer support and summarization workloads, while Qwen2.5-7B sees more deployments in local llm and on device. If pricing matters more than every last benchmark point, run the numbers in the calculator below before committing.

Side-by-side specs

SpecGPT-4o miniQwen2.5-7B
ProviderOpenAIAlibaba
ReleasedJul 2024Sep 2024
Modalitiestext, visiontext
Context window128K tokens128K tokens
Max output,,
Input · 1M$0.15 / 1M tokensPricing not published
Output · 1M$0.60 / 1M tokensPricing not published
Knowledge cutoff,,
Open weightsNoYes (Apache-2.0)
API availableYesYes

Pricing at scale

What you'd actually pay at typical workloads. Numbers come from each model's published per-million-token rates.

  • Light usage, 100k in / 50k out per day$1.35 vs ,
  • Heavy usage, 1M in / 500k out per day$13.50 vs ,
  • RAG workload, 5M in / 200k out per day$26.10 vs ,

Light usage, 100k in / 50k out per day: pricing not directly comparable (one or both models are missing public per-token rates). Heavy usage, 1M in / 500k out per day: pricing not directly comparable (one or both models are missing public per-token rates). RAG workload, 5M in / 200k out per day: pricing not directly comparable (one or both models are missing public per-token rates).

Price calculator

Estimated spend for the listed models at your usage. Numbers are derived from each model's published per-million-token rates.

  • GPT-4o mini$0.045
  • Qwen2.5-7BPricing unavailable

Benchmarks compared

Only sourced numbers. Where a benchmark is missing for one model we show the available value rather than fabricating the other.

GPT-4o miniQwen2.5-7B
  • MMLU82.0
Pick GPT-4o mini if

GPT-4o mini fits when…

  • Cheap
  • Fast
  • Mature
  • Multimodal needs covering vision.
Pick Qwen2.5-7B if

Qwen2.5-7B fits when…

  • Apache-2.0
  • Runs on laptops
  • Strong multilingual
  • Self-hosting and on-prem requirements, open weights (Apache-2.0).
Don't want either?

Consider GPT-5.5

OpenAI's mid-cycle GPT-5 refresh, improved reasoning, tool use, and multimodal grounding over the 2025 launch.

Frequently asked

  • Is GPT-4o mini or Qwen2.5-7B cheaper?
    Per-token pricing isn't published for at least one of these models, check each model's spec page for current rates.
  • Which has the larger context window?
    Both GPT-4o mini and Qwen2.5-7B ship a 128K-token context window.
  • Is GPT-4o mini or Qwen2.5-7B better for coding?
    Both GPT-4o mini and Qwen2.5-7B are competitive on coding benchmarks. See each model's individual spec page for HumanEval and SWE-bench scores where published. For an opinionated pick, consult our Best LLM for Coding ranking.
  • Are either of these models open source?
    Qwen2.5-7B ships open weights (Apache-2.0). GPT-4o mini is API-only.
  • When were GPT-4o mini and Qwen2.5-7B released?
    GPT-4o mini was released by OpenAI on 2024-07-18. Qwen2.5-7B was released by Alibaba on 2024-09-19.
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