| Signal | Google Gemini Flash Latest | Delta | GPT-3.5 Turbo Instruct |
|---|---|---|---|
Capabilities | 100 | +67 | |
Pricing | 97 | -1 | |
Context window size | 96 | +38 | |
Recency | 100 | +100 | |
Output Capacity | 80 | +20 | |
| Overall Result | 4 wins | of 5 | 1 wins |
Score History
40
current score
Google Gemini Flash Latest
right now
35
current score
OpenAI
Google Gemini Flash Latest saves you $50.00/month
That's $600.00/year compared to GPT-3.5 Turbo Instruct at your current usage level of 100K calls/month.
| Metric | Google Gemini Flash Latest | GPT-3.5 Turbo Instruct | Winner |
|---|---|---|---|
| Overall Score | 40 | 35 | Google Gemini Flash Latest |
| Rank | #195 | #330 | Google Gemini Flash Latest |
| Quality Rank | #195 | #330 | Google Gemini Flash Latest |
| Adoption Rank | #195 | #330 | Google Gemini Flash Latest |
| Parameters | -- | -- | -- |
| Context Window | 1049K | 4K | Google Gemini Flash Latest |
| Pricing | $0.50/$3.00/M | $1.50/$2.00/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 33 | Google Gemini Flash Latest |
| Pricing | 97 | 98 | GPT-3.5 Turbo Instruct |
| Context window size | 96 | 57 | Google Gemini Flash Latest |
| Recency | 100 | 0 | Google Gemini Flash Latest |
| Output Capacity | 80 | 60 | Google Gemini Flash Latest |
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 40/100 (rank #195), placing it in the top 33% of all 290 models tracked.
Scores 35/100 (rank #330), placing it in the top -13% of all 290 models tracked.
With only a 5-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Both models are priced similarly, so the decision comes down to quality and features rather than cost.
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. GPT-3.5 Turbo Instruct 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 ($2.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (40/100) 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
Google Gemini Flash Latest has a moderate advantage with a 5-point lead in composite score. It wins on more signal dimensions, but GPT-3.5 Turbo Instruct has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Google Gemini Flash Latest
Marginally better benchmark scores; both are excellent
Best for Cost
Google Gemini Flash Latest
0% lower pricing; better value at scale
Best for Reliability
Google Gemini Flash Latest
Higher uptime and faster response speeds
Best for Prototyping
Google Gemini Flash Latest
Stronger community support and better developer experience
Best for Production
Google Gemini Flash Latest
Wider enterprise adoption and proven at scale
by ~google
| Capability | Google Gemini Flash Latest | GPT-3.5 Turbo Instruct |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
OpenAI
Google Gemini Flash Latest saves you $0.6000/month
That's 12% cheaper than GPT-3.5 Turbo Instruct 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 | Google Gemini Flash Latest | GPT-3.5 Turbo Instruct |
|---|---|---|
| Context Window | 1.0M | 4K |
| Max Output Tokens | 65,536 | 4,096 |
| Open Source | No | No |
| Created | Apr 27, 2026 | Sep 28, 2023 |