Model comparison
GPT-4.1 nano 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: GPT-4.1 nano #170 (Estimated); Qwen3 235B 2507 #84 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-4.1 nano and Qwen3 235B 2507 share 1 comparable benchmark result. 1 of 8 categories are comparable. 20 results are unique to GPT-4.1 nano; 3 to Qwen3 235B 2507.
Updated July 24, 2026- Shared results
- 1
- GPT-4.1 nano only
- 20
- Qwen3 235B 2507 only
- 3
- Comparable categories
- 1 / 8
Pick Qwen3 235B 2507 if you want the stronger benchmark profile. GPT-4.1 nano only becomes the better choice if you need the larger 1M context window.
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 41.14. 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 50.3. The single biggest benchmark swing on the page is GPQA, 50.3% to 77.5%.
GPT-4.1 nano is also the more expensive model on tokens at $0.10 input / $0.40 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. GPT-4.1 nano gives you the larger context window at 1M, 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 | GPT-4.1 nano | Δ | Qwen3 235B 2507 |
|---|---|---|---|
| Knowledge | GPT-4.1 nano50.3 | Margin→ 28.6 | Qwen3 235B 250778.9 |
| Math | GPT-4.1 nano1.0 | MarginNo overlap | Qwen3 235B 2507Not measured |
| Multilingual | GPT-4.1 nanoNot measured | MarginNo overlap | Qwen3 235B 250779.4 |
| Inst. Following | GPT-4.1 nano83.2 | 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 50.3%B 77.5%Winner: Qwen3 235B 2507Δ 27.2GPQA: GPT-4.1 nano scored 50.3%; 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 | GPT-4.1 nano | Qwen3 235B 2507 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-4.1 nano$0.1 input / $0.4 output | Qwen3 235B 2507$0 input / $0 output | Qwen3 235B 2507 has the lower combined listed price. |
| Generation speedtokens per second | GPT-4.1 nano181 tok/s | Qwen3 235B 2507Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-4.1 nano0.63 s | Qwen3 235B 2507Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-4.1 nano1M | Qwen3 235B 2507128K | GPT-4.1 nano lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
KnowledgeQwen3 235B 2507 wins10 benchmarks
| Benchmark | GPT-4.1 nano | Qwen3 235B 2507 | Result |
|---|---|---|---|
| MMLUSource | 80.1% | — | Not comparable |
| GPQASource | 50.3% | 77.5% | Qwen3 235B 2507 leads |
| Artificial Analysis Intelligence IndexSource | 9.6% | — | Not comparable |
| AA-GPQA DiamondSource | 51.2% | — | Not comparable |
| AA-HLESource | 3.9% | — | Not comparable |
| AA-Omniscience IndexSource | -56.4% | — | Not comparable |
| AA-Omniscience AccuracySource | 13.3% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 80.4% | — | Not comparable |
| SuperGPQASource | — | 62.6% | Not comparable |
| MMLU-ProSource | — | 83% | Not comparable |
Math1 benchmarks
| Benchmark | GPT-4.1 nano | Qwen3 235B 2507 | Result |
|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)Source | 1.034% | — | Not comparable |
Multilingual1 benchmarks
| Benchmark | GPT-4.1 nano | Qwen3 235B 2507 | Result |
|---|---|---|---|
| MMLU-ProXSource | — | 79.4% | Not comparable |
Multimodal2 benchmarks
Frequently Asked Questions (2)
Which is better, GPT-4.1 nano or Qwen3 235B 2507?
Qwen3 235B 2507 is ahead on BenchLM's BenchAlign leaderboard, 55.26 to 41.14. The biggest single separator in this matchup is GPQA, where the scores are 50.3% and 77.5%.
Which is better for knowledge tasks, GPT-4.1 nano or Qwen3 235B 2507?
Qwen3 235B 2507 has the edge for knowledge tasks in this comparison, averaging 78.9 versus 50.3. Inside this category, GPQA is the benchmark that creates the most daylight between them.