Model comparison
GPT-5 mini vs Qwen2.5-1M
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: GPT-5 mini #153 (Supported); Qwen2.5-1M #120 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-5 mini and Qwen2.5-1M share 0 comparable benchmark results. 0 of 8 categories are comparable. 1 result is unique to GPT-5 mini; 0 to Qwen2.5-1M.
Updated July 22, 2026- Shared results
- 0
- GPT-5 mini only
- 1
- Qwen2.5-1M only
- 0
- Comparable categories
- 0 / 8
Benchmark data for GPT-5 mini and Qwen2.5-1M is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM does not have sourced benchmark coverage for Qwen2.5-1M yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.
GPT-5 mini is priced at $0.25 input / $2.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen2.5-1M. Qwen2.5-1M has the larger context window at 1M, compared with 128K for GPT-5 mini.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-5 mini | Qwen2.5-1M | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-5 mini$0.25 input / $2 output | Qwen2.5-1M$0 input / $0 output | Qwen2.5-1M has the lower combined listed price. |
| Generation speedtokens per second | GPT-5 mini86 tok/s | Qwen2.5-1MNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-5 mini65.32 s | Qwen2.5-1MNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-5 mini128K | Qwen2.5-1M1M | Qwen2.5-1M lists the larger context window. |
Benchmark Deep Dive
Coding1 benchmarks
| Benchmark | GPT-5 mini | Qwen2.5-1M | Result |
|---|---|---|---|
| Vibe Code BenchSource | 14.17% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare GPT-5 mini and Qwen2.5-1M on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for GPT-5 mini and Qwen2.5-1M today?
GPT-5 mini: $0.25 input / $2.00 output per 1M tokens Qwen2.5-1M: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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