o4-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
o4-mini specs · Qwen2.5-7B specs- Priceo4-mini
o4-mini publishes pricing ($4.40 / 1M output tokens) while Qwen2.5-7B does not.
- Context windowo4-mini
o4-mini accepts 200K tokens vs 128K, 1.6× the room for long documents and codebases.
- BenchmarksTie
No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores.
- Modalitieso4-mini
o4-mini supports 2 modalities (text, vision) vs 1 for Qwen2.5-7B.
- OpennessQwen2.5-7B
Qwen2.5-7B ships open weights (Apache-2.0); o4-mini is API-only.
On balance o4-mini edges ahead, winning 3 of 5 categories against Qwen2.5-7B's 1. o4-mini publishes pricing ($4.40 / 1M output tokens) while Qwen2.5-7B does not. o4-mini accepts 200K tokens vs 128K, 1.6× the room for long documents and codebases.
No directly comparable public benchmarks are available for both models, check the spec sheets for individual scores. They differ in modality coverage, o4-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); o4-mini is API-only.
o4-mini is the newer of the two, released 7 months after Qwen2.5-7B, which usually means a more recent knowledge cutoff and updated safety post-training. o4-mini is usually picked for reasoning and math 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
| Spec | o4-mini | Qwen2.5-7B |
|---|---|---|
| Provider | OpenAI | Alibaba |
| Released | Apr 2025 | Sep 2024 |
| Modalities | text, vision | text |
| Context window | 200K tokens | 128K tokens |
| Max output | , | , |
| Input · 1M | $1.10 / 1M tokens | Pricing not published |
| Output · 1M | $4.40 / 1M tokens | Pricing not published |
| Knowledge cutoff | 2024-06 | , |
| Open weights | No | Yes (Apache-2.0) |
| API available | Yes | Yes |
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$9.90 vs ,
- Heavy usage, 1M in / 500k out per day$99.00 vs ,
- RAG workload, 5M in / 200k out per day$191 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).
Estimated spend for the listed models at your usage. Numbers are derived from each model's published per-million-token rates.
- o4-mini$0.330
- 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.
- GPQA81.4
o4-mini fits when…
- Strong reasoning at mid-tier price
- Fast for a thinking model
- Solid tool-use
- Long-context tasks, handles 200K tokens vs 128K for Qwen2.5-7B.
- Multimodal needs covering vision.
Qwen2.5-7B fits when…
- Apache-2.0
- Runs on laptops
- Strong multilingual
- Self-hosting and on-prem requirements, open weights (Apache-2.0).
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 o4-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?
o4-mini accepts 200K tokens vs 128K for Qwen2.5-7B.Is o4-mini or Qwen2.5-7B better for coding?
Both o4-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). o4-mini is API-only.When were o4-mini and Qwen2.5-7B released?
o4-mini was released by OpenAI on 2025-04-16. Qwen2.5-7B was released by Alibaba on 2024-09-19.
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