Model comparison
Gemini 3.6 Flash vs GPT-5.6 Sol
Head-to-head evidence from 18 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-5.6 Sol #3 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 3.6 Flash and GPT-5.6 Sol share 18 comparable benchmark results. 1 of 8 categories are comparable. 1 result is unique to Gemini 3.6 Flash; 28 to GPT-5.6 Sol.
Updated July 21, 2026- Shared results
- 18
- Gemini 3.6 Flash only
- 1
- GPT-5.6 Sol only
- 28
- Comparable categories
- 1 / 8
Treat this as a split decision. Gemini 3.6 Flash makes more sense if you want the cheaper token bill; GPT-5.6 Sol is the better fit if agentic is the priority.
Confidence note. This is a partial-evidence comparison with 18 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-5.6 Sol 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.
GPT-5.6 Sol is also the more expensive model on tokens at $5.00 input / $30.00 output per 1M tokens, versus $1.50 input / $7.50 output per 1M tokens for Gemini 3.6 Flash. That is roughly 4.0x on output cost alone.
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-5.6 Sol |
|---|---|---|---|
| Agentic | Gemini 3.6 Flash83.0 | Margin→ 9.0 | GPT-5.6 Sol92.0 |
| Coding | Gemini 3.6 FlashNot measured | MarginNo overlap | GPT-5.6 Sol64.6 |
| Knowledge | Gemini 3.6 FlashNot measured | MarginNo overlap | GPT-5.6 Sol94.6 |
| Math | Gemini 3.6 FlashNot measured | MarginNo overlap | GPT-5.6 Sol87.5 |
| Multimodal | Gemini 3.6 FlashNot measured | MarginNo overlap | GPT-5.6 Sol83.0 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 3.6 Flash | GPT-5.6 Sol | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 3.6 Flash$1.5 input / $7.5 output | GPT-5.6 Sol$5 input / $30 output | Gemini 3.6 Flash has the lower combined listed price. |
| Generation speedtokens per second | Gemini 3.6 FlashNot available | GPT-5.6 SolNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemini 3.6 FlashNot available | GPT-5.6 SolNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemini 3.6 Flash1M | GPT-5.6 Sol1M | Listed context windows are equal. |
Benchmark Deep Dive
AgenticGPT-5.6 Sol wins18 benchmarks
| Benchmark | Gemini 3.6 Flash | GPT-5.6 Sol | Result |
|---|---|---|---|
| OSWorld-VerifiedSource | 83% | — | Not comparable |
| GDPval-AASource | 1421 | 1736 | GPT-5.6 Sol leads |
| AA Agentic IndexSource | 38.7% | 54.0% | GPT-5.6 Sol leads |
| GDPval-AASource | 46.1% | 61.8% | GPT-5.6 Sol leads |
| AA BriefcaseSource | 961 | 1501 | GPT-5.6 Sol leads |
| AA Tau3 BankingSource | 24.5% | 33.0% | GPT-5.6 Sol leads |
| aaTerminalBench21Source | 77.5% | 88% | GPT-5.6 Sol leads |
| Terminal-Bench 2.0Source | — | 91.9% | Not comparable |
| BrowseCompSource | — | 92.2% | Not comparable |
| OSWorld 2.0Source | — | 62.6% | Not comparable |
| CyberGymSource | — | 84.5% | Not comparable |
| ExploitGymSource | — | 33.7% | Not comparable |
| ToolathlonSource | — | 58% | Not comparable |
| τ²-bench resultsSource | — | 85.1% | Not comparable |
| AA ITBenchSource | — | 56.2% | Not comparable |
| AA AutomationBenchSource | — | 51.2% | Not comparable |
| AA Harvey LABSource | — | 87.2% | Not comparable |
| terminalBenchHardSource | — | 65.9% | Not comparable |
Coding8 benchmarks
| Benchmark | Gemini 3.6 Flash | GPT-5.6 Sol | Result |
|---|---|---|---|
| deepSweSource | 49% | 72.7% | GPT-5.6 Sol leads |
| AA Coding IndexSource | 69.2% | 77.4% | GPT-5.6 Sol leads |
| AA-SciCodeSource | 52.7% | 56.1% | GPT-5.6 Sol leads |
| SWE-bench ProSource | — | 64.6% | Not comparable |
| Terminal-Bench 2.0Source | — | 91.9% | Not comparable |
| FrontierCode 1.1 ExtendedSource | — | 60.6% | Not comparable |
| cursorBench32Source | — | 67.2% | Not comparable |
| VulcanBench v3Source | — | 87.0% | Not comparable |
Reasoning4 benchmarks
Knowledge10 benchmarks
| Benchmark | Gemini 3.6 Flash | GPT-5.6 Sol | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 50.1% | 58.9% | GPT-5.6 Sol leads |
| AA-GPQA DiamondSource | 92.8% | 94.1% | GPT-5.6 Sol leads |
| AA-HLESource | 38.3% | 47.2% | GPT-5.6 Sol leads |
| AA-Omniscience IndexSource | 23.5% | 21.7% | Gemini 3.6 Flash leads |
| AA-Omniscience AccuracySource | 50.2% | 58.5% | GPT-5.6 Sol leads |
| AA-Omniscience Hallucination RateSource | 53.5% | 88.8% | Gemini 3.6 Flash leads |
| GPQASource | — | 94.6% | Not comparable |
| GPQA-DSource | — | 94.6% | Not comparable |
| HealthBench ProfessionalSource | — | 60.5% | Not comparable |
| HealthBench HardSource | — | 33.1% | Not comparable |
Math3 benchmarks
Multimodal3 benchmarks
Inst. Following1 benchmarks
| Benchmark | Gemini 3.6 Flash | GPT-5.6 Sol | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 72.7% | Not comparable |
Frequently Asked Questions (2)
Which is better, Gemini 3.6 Flash or GPT-5.6 Sol?
Gemini 3.6 Flash and GPT-5.6 Sol 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-5.6 Sol?
GPT-5.6 Sol has the edge for agentic tasks in this comparison, averaging 92 versus 83. Inside this category, AA Briefcase is the benchmark that creates the most daylight between them.
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