Model comparison
o3-mini vs Qwen3 235B 2507
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: o3-mini #141 (Supported); Qwen3 235B 2507 #84 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. o3-mini and Qwen3 235B 2507 share 1 comparable benchmark result. 1 of 8 categories are comparable. 9 results are unique to o3-mini; 3 to Qwen3 235B 2507.
Updated July 24, 2026- Shared results
- 1
- o3-mini only
- 9
- Qwen3 235B 2507 only
- 3
- Comparable categories
- 1 / 8
Pick Qwen3 235B 2507 if you want the stronger benchmark profile. o3-mini only becomes the better choice if you need the larger 200K context window or you want the stronger reasoning-first profile.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Qwen3 235B 2507 is clearly ahead on the BenchAlign aggregate, 55.26 to 46.59. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Qwen3 235B 2507's sharpest advantage is in knowledge, where it averages 78.9 against 77.2. The single biggest benchmark swing on the page is GPQA, 77.2% to 77.5%.
o3-mini is also the more expensive model on tokens at $1.10 input / $4.40 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3 235B 2507. That is roughly Infinityx on output cost alone. o3-mini is the reasoning model in the pair, while Qwen3 235B 2507 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. o3-mini gives you the larger context window at 200K, compared with 128K for Qwen3 235B 2507.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | o3-mini | Δ | Qwen3 235B 2507 |
|---|---|---|---|
| Knowledge | o3-mini77.2 | Margin→ 1.7 | Qwen3 235B 250778.9 |
| Coding | o3-mini49.3 | MarginNo overlap | Qwen3 235B 2507Not measured |
| Multilingual | o3-miniNot measured | MarginNo overlap | Qwen3 235B 250779.4 |
| Inst. Following | o3-mini93.9 | MarginNo overlap | Qwen3 235B 2507Not measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 77.2%B 77.5%Winner: Qwen3 235B 2507Δ 0.3GPQA: o3-mini scored 77.2%; Qwen3 235B 2507 scored 77.5%. Qwen3 235B 2507 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | o3-mini | Qwen3 235B 2507 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | o3-mini$1.1 input / $4.4 output | Qwen3 235B 2507$0 input / $0 output | Qwen3 235B 2507 has the lower combined listed price. |
| Generation speedtokens per second | o3-mini160 tok/s | Qwen3 235B 2507Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | o3-mini7.12 s | Qwen3 235B 2507Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | o3-mini200K | Qwen3 235B 2507128K | o3-mini lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | o3-mini | Qwen3 235B 2507 | Result |
|---|---|---|---|
| τ²-bench resultsSource | 28.7% | — | Not comparable |
Coding2 benchmarks
KnowledgeQwen3 235B 2507 wins7 benchmarks
| Benchmark | o3-mini | Qwen3 235B 2507 | Result |
|---|---|---|---|
| MMLUSource | 86.9% | — | Not comparable |
| GPQASource | 77.2% | 77.5% | Qwen3 235B 2507 leads |
| Artificial Analysis Intelligence IndexSource | 19.0% | — | Not comparable |
| AA-GPQA DiamondSource | 74.8% | — | Not comparable |
| AA-HLESource | 8.7% | — | Not comparable |
| SuperGPQASource | — | 62.6% | Not comparable |
| MMLU-ProSource | — | 83% | Not comparable |
Math1 benchmarks
| Benchmark | o3-mini | Qwen3 235B 2507 | Result |
|---|---|---|---|
| AIME 2024Source | 87.3% | — | Not comparable |
Multilingual1 benchmarks
| Benchmark | o3-mini | Qwen3 235B 2507 | Result |
|---|---|---|---|
| MMLU-ProXSource | — | 79.4% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | o3-mini | Qwen3 235B 2507 | Result |
|---|---|---|---|
| IFEvalSource | 93.9% | — | Not comparable |
Frequently Asked Questions (2)
Which is better, o3-mini or Qwen3 235B 2507?
Qwen3 235B 2507 is ahead on BenchLM's BenchAlign leaderboard, 55.26 to 46.59. The biggest single separator in this matchup is GPQA, where the scores are 77.2% and 77.5%.
Which is better for knowledge tasks, o3-mini or Qwen3 235B 2507?
Qwen3 235B 2507 has the edge for knowledge tasks in this comparison, averaging 78.9 versus 77.2. Inside this category, GPQA is the benchmark that creates the most daylight between them.