Model comparison
Gemini 3.6 Flash vs GPT-4.1 nano
Head-to-head evidence from 14 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemini 3.6 Flash unranked (Not scored); GPT-4.1 nano #161 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 3.6 Flash and GPT-4.1 nano share 14 comparable benchmark results. 0 of 8 categories are comparable. 5 results are unique to Gemini 3.6 Flash; 7 to GPT-4.1 nano.
Updated July 21, 2026- Shared results
- 14
- Gemini 3.6 Flash only
- 5
- GPT-4.1 nano only
- 7
- Comparable categories
- 0 / 8
Benchmark data for Gemini 3.6 Flash and GPT-4.1 nano is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 14 shared benchmark results across 5 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 has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Gemini 3.6 Flash is priced at $1.50 input / $7.50 output per 1M tokens, versus $0.10 input / $0.40 output per 1M tokens for GPT-4.1 nano.
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 | Gemini 3.6 Flash | Δ | GPT-4.1 nano |
|---|---|---|---|
| Agentic | Gemini 3.6 Flash83.0 | MarginNo overlap | GPT-4.1 nanoNot measured |
| Knowledge | Gemini 3.6 FlashNot measured | MarginNo overlap | GPT-4.1 nano50.3 |
| Math | Gemini 3.6 FlashNot measured | MarginNo overlap | GPT-4.1 nano1.0 |
| Inst. Following | Gemini 3.6 FlashNot measured | MarginNo overlap | GPT-4.1 nano83.2 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 3.6 Flash | GPT-4.1 nano | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 3.6 Flash$1.5 input / $7.5 output | GPT-4.1 nano$0.1 input / $0.4 output | GPT-4.1 nano has the lower combined listed price. |
| Generation speedtokens per second | Gemini 3.6 FlashNot available | GPT-4.1 nano181 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemini 3.6 FlashNot available | GPT-4.1 nano0.63 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemini 3.6 Flash1M | GPT-4.1 nano1M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | Gemini 3.6 Flash | GPT-4.1 nano | Result |
|---|---|---|---|
| OSWorld-VerifiedSource | 83% | — | Not comparable |
| GDPval-AASource | 1421 | 41 | Gemini 3.6 Flash leads |
| AA Agentic IndexSource | 38.7% | 1.2% | Gemini 3.6 Flash leads |
| GDPval-AASource | 46.1% | 0.0% | Gemini 3.6 Flash leads |
| AA BriefcaseSource | 961 | — | Not comparable |
| AA Tau3 BankingSource | 24.5% | — | Not comparable |
| aaTerminalBench21Source | 77.5% | — | Not comparable |
| τ²-bench resultsSource | — | 17.3% | Not comparable |
Coding3 benchmarks
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | Gemini 3.6 Flash | GPT-4.1 nano | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 50.1% | 9.6% | Gemini 3.6 Flash leads |
| AA-GPQA DiamondSource | 92.8% | 51.2% | Gemini 3.6 Flash leads |
| AA-HLESource | 38.3% | 3.9% | Gemini 3.6 Flash leads |
| AA-Omniscience IndexSource | 23.5% | -56.4% | Gemini 3.6 Flash leads |
| AA-Omniscience AccuracySource | 50.2% | 13.3% | Gemini 3.6 Flash leads |
| AA-Omniscience Hallucination RateSource | 53.5% | 80.4% | Gemini 3.6 Flash leads |
| MMLUSource | — | 80.1% | Not comparable |
| GPQASource | — | 50.3% | Not comparable |
Math1 benchmarks
| Benchmark | Gemini 3.6 Flash | GPT-4.1 nano | Result |
|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)Source | — | 1.034% | Not comparable |
Multimodal2 benchmarks
Frequently Asked Questions (3)
Can I compare Gemini 3.6 Flash and GPT-4.1 nano 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 Gemini 3.6 Flash and GPT-4.1 nano today?
Gemini 3.6 Flash: $1.50 input / $7.50 output per 1M tokens GPT-4.1 nano: $0.10 input / $0.40 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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