Model comparison
Gemini 3.5 Flash-Lite vs GPT-4 Turbo
Head-to-head evidence from 4 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemini 3.5 Flash-Lite unranked (Not scored); GPT-4 Turbo #188 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemini 3.5 Flash-Lite and GPT-4 Turbo share 4 comparable benchmark results. 0 of 8 categories are comparable. 17 results are unique to Gemini 3.5 Flash-Lite; 0 to GPT-4 Turbo.
Updated July 21, 2026- Shared results
- 4
- Gemini 3.5 Flash-Lite only
- 17
- GPT-4 Turbo only
- 0
- Comparable categories
- 0 / 8
Benchmark data for Gemini 3.5 Flash-Lite and GPT-4 Turbo is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 4 shared benchmark results across 2 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 Turbo is priced at $10.00 input / $30.00 output per 1M tokens, versus $0.30 input / $2.50 output per 1M tokens for Gemini 3.5 Flash-Lite. Gemini 3.5 Flash-Lite has the larger context window at 1M, compared with 128K for GPT-4 Turbo.
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 3.5 Flash-Lite | Δ | GPT-4 Turbo |
|---|---|---|---|
| Agentic | Gemini 3.5 Flash-Lite63.4 | MarginNo overlap | GPT-4 TurboNot measured |
| Coding | Gemini 3.5 Flash-Lite54.2 | MarginNo overlap | GPT-4 TurboNot measured |
| Reasoning | Gemini 3.5 Flash-Lite72.2 | MarginNo overlap | GPT-4 TurboNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemini 3.5 Flash-Lite | GPT-4 Turbo | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemini 3.5 Flash-Lite$0.3 input / $2.5 output | GPT-4 Turbo$10 input / $30 output | Gemini 3.5 Flash-Lite has the lower combined listed price. |
| Generation speedtokens per second | Gemini 3.5 Flash-LiteNot available | GPT-4 Turbo30 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemini 3.5 Flash-LiteNot available | GPT-4 Turbo2.84 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemini 3.5 Flash-Lite1M | GPT-4 Turbo128K | Gemini 3.5 Flash-Lite lists the larger context window. |
Benchmark Deep Dive
Agentic7 benchmarks
| Benchmark | Gemini 3.5 Flash-Lite | GPT-4 Turbo | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 54% | — | Not comparable |
| OSWorld-VerifiedSource | 74% | — | Not comparable |
| GDPval-AASource | 1140 | — | Not comparable |
| AA Agentic IndexSource | 26.8% | — | Not comparable |
| GDPval-AASource | 32.0% | — | Not comparable |
| AA BriefcaseSource | 634 | — | Not comparable |
| AA Tau3 BankingSource | 16.5% | — | Not comparable |
Coding4 benchmarks
Reasoning3 benchmarks
Knowledge6 benchmarks
| Benchmark | Gemini 3.5 Flash-Lite | GPT-4 Turbo | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 36.5% | 7.9% | Gemini 3.5 Flash-Lite leads |
| AA-GPQA DiamondSource | 83.8% | — | Not comparable |
| AA-HLESource | 17.5% | 3.3% | Gemini 3.5 Flash-Lite leads |
| AA-Omniscience IndexSource | 6.9% | — | Not comparable |
| AA-Omniscience AccuracySource | 30.3% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 33.5% | — | Not comparable |
Multimodal1 benchmarks
| Benchmark | Gemini 3.5 Flash-Lite | GPT-4 Turbo | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 79.0% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Gemini 3.5 Flash-Lite and GPT-4 Turbo 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 3.5 Flash-Lite and GPT-4 Turbo today?
Gemini 3.5 Flash-Lite: $0.30 input / $2.50 output per 1M tokens GPT-4 Turbo: $10.00 input / $30.00 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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