Model comparison
Gemini 3.6 Flash vs GPT-5.4 nano
Head-to-head evidence from 15 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-5.4 nano #25 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 3.6 Flash and GPT-5.4 nano share 15 comparable benchmark results. 1 of 8 categories are comparable. 4 results are unique to Gemini 3.6 Flash; 14 to GPT-5.4 nano.
Updated July 21, 2026- Shared results
- 15
- Gemini 3.6 Flash only
- 4
- GPT-5.4 nano only
- 14
- Comparable categories
- 1 / 8
Treat this as a split decision. Gemini 3.6 Flash makes more sense if agentic is the priority or you need the larger 1M context window; GPT-5.4 nano is the better fit if you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 15 shared benchmark results across 5 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Gemini 3.6 Flash and GPT-5.4 nano finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.
Gemini 3.6 Flash is also the more expensive model on tokens at $1.50 input / $7.50 output per 1M tokens, versus $0.20 input / $1.25 output per 1M tokens for GPT-5.4 nano. That is roughly 6.0x on output cost alone. Gemini 3.6 Flash gives you the larger context window at 1M, compared with 400K for GPT-5.4 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-5.4 nano |
|---|---|---|---|
| Agentic | Gemini 3.6 Flash83.0 | Margin← 40.1 | GPT-5.4 nano42.9 |
| Knowledge | Gemini 3.6 FlashNot measured | MarginNo overlap | GPT-5.4 nano43.8 |
| Math | Gemini 3.6 FlashNot measured | MarginNo overlap | GPT-5.4 nano21.0 |
| Multimodal | Gemini 3.6 FlashNot measured | MarginNo overlap | GPT-5.4 nano66.1 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
OSWorld-Verified
AgenticA 83%B 39%Winner: Gemini 3.6 FlashΔ 44OSWorld-Verified: Gemini 3.6 Flash scored 83%; GPT-5.4 nano scored 39%. Gemini 3.6 Flash wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 3.6 Flash | GPT-5.4 nano | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 3.6 Flash$1.5 input / $7.5 output | GPT-5.4 nano$0.2 input / $1.25 output | GPT-5.4 nano has the lower combined listed price. |
| Generation speedtokens per second | Gemini 3.6 FlashNot available | GPT-5.4 nano191 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemini 3.6 FlashNot available | GPT-5.4 nano3.64 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemini 3.6 Flash1M | GPT-5.4 nano400K | Gemini 3.6 Flash lists the larger context window. |
Benchmark Deep Dive
AgenticGemini 3.6 Flash wins12 benchmarks
| Benchmark | Gemini 3.6 Flash | GPT-5.4 nano | Result |
|---|---|---|---|
| OSWorld-VerifiedSource | 83% | 39% | Gemini 3.6 Flash leads |
| GDPval-AASource | 1421 | 1100 | Gemini 3.6 Flash leads |
| AA Agentic IndexSource | 38.7% | 27.5% | Gemini 3.6 Flash leads |
| GDPval-AASource | 46.1% | 30.0% | Gemini 3.6 Flash leads |
| AA BriefcaseSource | 961 | — | Not comparable |
| AA Tau3 BankingSource | 24.5% | — | Not comparable |
| aaTerminalBench21Source | 77.5% | — | Not comparable |
| Terminal-Bench 2.0Source | — | 46.3% | Not comparable |
| MCP AtlasSource | — | 56.1% | Not comparable |
| ToolathlonSource | — | 35.5% | Not comparable |
| τ²-bench resultsSource | — | 76% | Not comparable |
| APEX-Agents-AASource | — | 24.9% | Not comparable |
Coding4 benchmarks
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | Gemini 3.6 Flash | GPT-5.4 nano | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 50.1% | 38.2% | Gemini 3.6 Flash leads |
| AA-GPQA DiamondSource | 92.8% | 81.7% | Gemini 3.6 Flash leads |
| AA-HLESource | 38.3% | 26.5% | Gemini 3.6 Flash leads |
| AA-Omniscience IndexSource | 23.5% | -29.5% | Gemini 3.6 Flash leads |
| AA-Omniscience AccuracySource | 50.2% | 25.4% | Gemini 3.6 Flash leads |
| AA-Omniscience Hallucination RateSource | 53.5% | 73.6% | Gemini 3.6 Flash leads |
| GPQASource | — | 82.8% | Not comparable |
| HLESource | — | 37.7% | Not comparable |
| HLE w/o toolsSource | — | 24.3% | Not comparable |
Math2 benchmarks
Multimodal3 benchmarks
Inst. Following1 benchmarks
| Benchmark | Gemini 3.6 Flash | GPT-5.4 nano | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 75.9% | Not comparable |
Frequently Asked Questions (2)
Which is better, Gemini 3.6 Flash or GPT-5.4 nano?
Gemini 3.6 Flash and GPT-5.4 nano are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.
Which is better for agentic tasks, Gemini 3.6 Flash or GPT-5.4 nano?
Gemini 3.6 Flash has the edge for agentic tasks in this comparison, averaging 83 versus 42.9. Inside this category, GDPval-AA is the benchmark that creates the most daylight between them.
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