Gemini 3.5 Flash Lite (batch) vs GPT-3.5 Turbo 16k
| Signal | Gemini 3.5 Flash Lite (batch) | Delta | GPT-3.5 Turbo 16k |
|---|---|---|---|
Capabilities | 100 | +50 | |
Benchmarks | 75 | +75 | |
Pricing | 99 | +3 | |
Context window size | 96 | +29 | |
Recency | 100 | +100 | |
Output Capacity | 80 | +20 | |
| Overall Result | 6 wins | of 6 | 0 wins |
Score History
76.9
current score
Gemini 3.5 Flash Lite (batch)
right now
40
current score
Gemini 3.5 Flash Lite (batch)
GPT-3.5 Turbo 16k
OpenAI
Gemini 3.5 Flash Lite (batch) saves you $422.50/month
That's $5070.00/year compared to GPT-3.5 Turbo 16k at your current usage level of 100K calls/month.
| Metric | Gemini 3.5 Flash Lite (batch) | GPT-3.5 Turbo 16k | Winner |
|---|---|---|---|
| Overall Score | 77 | 40 | Gemini 3.5 Flash Lite (batch) |
| Rank | #113 | #361 | Gemini 3.5 Flash Lite (batch) |
| Quality Rank | #113 | #361 | Gemini 3.5 Flash Lite (batch) |
| Adoption Rank | #113 | #361 | Gemini 3.5 Flash Lite (batch) |
| Parameters | -- | -- | -- |
| Context Window | 1049K | 16K | Gemini 3.5 Flash Lite (batch) |
| Pricing | $0.15/$1.25/M | $3.00/$4.00/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 50 | Gemini 3.5 Flash Lite (batch) |
| Benchmarks | 75 | -- | Gemini 3.5 Flash Lite (batch) |
| Pricing | 99 | 96 | Gemini 3.5 Flash Lite (batch) |
| Context window size | 96 | 67 | Gemini 3.5 Flash Lite (batch) |
| Recency | 100 | 0 | Gemini 3.5 Flash Lite (batch) |
| Output Capacity | 80 | 60 | Gemini 3.5 Flash Lite (batch) |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 77/100 (rank #113), placing it in the top 61% of all 290 models tracked.
Scores 40/100 (rank #361), placing it in the top -24% of all 290 models tracked.
Gemini 3.5 Flash Lite (batch) has a 37-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Choose Gemini 3.5 Flash Lite (batch) when you need:
- High-volume production workloads where API costs must be minimized
- Processing long documents or large codebases (1049K token context)
- Multimodal workflows that require image understanding
- Step-by-step reasoning and chain-of-thought problem solving
Choose GPT-3.5 Turbo 16k when you need:
- Budget-friendly applications with moderate quality requirements
Gemini 3.5 Flash Lite (batch) offers 80% better value per quality point. At 1M tokens/day, you'd spend $21.00/month with Gemini 3.5 Flash Lite (batch) vs $105.00/month with GPT-3.5 Turbo 16k - a $84.00 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Gemini 3.5 Flash Lite (batch) also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1049K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($1.25/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (77/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Gemini 3.5 Flash Lite (batch) clearly outperforms GPT-3.5 Turbo 16k with a significant 36.900000000000006-point lead. For most general use cases, Gemini 3.5 Flash Lite (batch) is the stronger choice. However, GPT-3.5 Turbo 16k may still excel in niche scenarios.
By Use Case
Best for Quality
Gemini 3.5 Flash Lite (batch)
Marginally better benchmark scores; both are excellent
Best for Cost
Gemini 3.5 Flash Lite (batch)
80% lower pricing; better value at scale
Best for Reliability
Gemini 3.5 Flash Lite (batch)
Higher uptime and faster response speeds
Best for Prototyping
Gemini 3.5 Flash Lite (batch)
Stronger community support and better developer experience
Best for Production
Gemini 3.5 Flash Lite (batch)
Wider enterprise adoption and proven at scale
by Google
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 80% lower pricing; better value at scale
- Choose for Reliability - Higher uptime and faster response speeds
- Choose for Prototyping - Stronger community support and better developer experience
- Choose for Production - Wider enterprise adoption and proven at scale
| Capability | Gemini 3.5 Flash Lite (batch) | GPT-3.5 Turbo 16k |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
Gemini 3.5 Flash Lite (batch)
GPT-3.5 Turbo 16k
OpenAI
Gemini 3.5 Flash Lite (batch) saves you $8.43/month
That's 83% cheaper than GPT-3.5 Turbo 16k at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Gemini 3.5 Flash Lite (batch) | GPT-3.5 Turbo 16k |
|---|---|---|
| Context Window | 1.0M | 16K |
| Max Output Tokens | 65,536 | 4,096 |
| Open Source | No | No |
| Created | Jul 21, 2026 | Aug 28, 2023 |