Model comparison
Gemini 3.6 Flash vs GPT-4.1
Head-to-head evidence from 10 shared benchmark results across 4 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 #108 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 3.6 Flash and GPT-4.1 share 10 comparable benchmark results. 0 of 8 categories are comparable. 9 results are unique to Gemini 3.6 Flash; 10 to GPT-4.1.
Updated July 21, 2026- Shared results
- 10
- Gemini 3.6 Flash only
- 9
- GPT-4.1 only
- 10
- Comparable categories
- 0 / 8
Benchmark data for Gemini 3.6 Flash and GPT-4.1 is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 10 shared benchmark results across 4 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.
GPT-4.1 is priced at $2.00 input / $8.00 output per 1M tokens, versus $1.50 input / $7.50 output per 1M tokens for Gemini 3.6 Flash.
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 |
|---|---|---|---|
| Agentic | Gemini 3.6 Flash83.0 | MarginNo overlap | GPT-4.1Not measured |
| Coding | Gemini 3.6 FlashNot measured | MarginNo overlap | GPT-4.154.6 |
| Knowledge | Gemini 3.6 FlashNot measured | MarginNo overlap | GPT-4.166.3 |
| Math | Gemini 3.6 FlashNot measured | MarginNo overlap | GPT-4.14.1 |
| Inst. Following | Gemini 3.6 FlashNot measured | MarginNo overlap | GPT-4.187.4 |
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 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 3.6 Flash$1.5 input / $7.5 output | GPT-4.1$2 input / $8 output | Gemini 3.6 Flash has the lower combined listed price. |
| Generation speedtokens per second | Gemini 3.6 FlashNot available | GPT-4.1108 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemini 3.6 FlashNot available | GPT-4.11.02 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemini 3.6 Flash1M | GPT-4.11M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic9 benchmarks
| Benchmark | Gemini 3.6 Flash | GPT-4.1 | Result |
|---|---|---|---|
| OSWorld-VerifiedSource | 83% | — | Not comparable |
| GDPval-AASource | 1421 | — | Not comparable |
| AA Agentic IndexSource | 38.7% | — | Not comparable |
| GDPval-AASource | 46.1% | — | Not comparable |
| AA BriefcaseSource | 961 | — | Not comparable |
| AA Tau3 BankingSource | 24.5% | — | Not comparable |
| aaTerminalBench21Source | 77.5% | — | Not comparable |
| τ²-bench resultsSource | — | 47.1% | Not comparable |
| Gert LabsSource | — | 25.65% | Not comparable |
Coding4 benchmarks
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | Gemini 3.6 Flash | GPT-4.1 | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 50.1% | 19.4% | Gemini 3.6 Flash leads |
| AA-GPQA DiamondSource | 92.8% | 66.6% | Gemini 3.6 Flash leads |
| AA-HLESource | 38.3% | 4.6% | Gemini 3.6 Flash leads |
| AA-Omniscience IndexSource | 23.5% | -36.2% | Gemini 3.6 Flash leads |
| AA-Omniscience AccuracySource | 50.2% | 24.2% | Gemini 3.6 Flash leads |
| AA-Omniscience Hallucination RateSource | 53.5% | 79.6% | Gemini 3.6 Flash leads |
| MMLUSource | — | 90.2% | Not comparable |
| GPQASource | — | 66.3% | Not comparable |
Math2 benchmarks
Multimodal2 benchmarks
Frequently Asked Questions (3)
Can I compare Gemini 3.6 Flash and GPT-4.1 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 today?
Gemini 3.6 Flash: $1.50 input / $7.50 output per 1M tokens GPT-4.1: $2.00 input / $8.00 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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