Model Comparison
V2-Chat
vs. Gemini 3.1 Pro Preview
Comparing 2 AI models · 7 benchmarks · DeepSeek, Google
Recommended Pick
De V2-Chat 4 metric wins Strongest on: Input price, Output price, TTFT
Lowest Price
V2-Chat
$0.00/1M input price
Best Reasoning
Gemini 3.1 Pro Preview
65.3 reasoning score
Blends available reasoning benchmarks
Best for Coding
Gemini 3.1 Pro Preview
55.5 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Price gap
V2-Chat is ∞x cheaper on input tokens than Gemini 3.1 Pro Preview.
Reasoning gap
Gemini 3.1 Pro Preview leads V2-Chat by 56.2 points on reasoning.
Top-pick rationale
V2-Chat wins 4 measurable categories, including Input price, Output price, TTFT, Latency.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
V2-Chat
DeepSeek
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Gemini 3.1 Pro Preview
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Top Pick De V2-Chat | Go Gemini 3.1 Pro Preview |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.00/1M | $2.00/1M |
| Output Cost | $0.00/1M | $12.00/1M |
| Blended (3:1) | — | $4.50/1M |
| Specifications | ||
| Organization | DeepSeek | |
| Release Date | May 6, 2024 | Feb 19, 2026 |
| Performance & Speed | ||
| Throughput | — | 134.8 tok/s |
| TTFT | — | 28648ms |
| Latency | — | 28648ms |
| Composite Indices | ||
| Value Score | — | 100.0 |
| Reasoning Score | 9.1 | 65.3 |
| Intelligence | 9.1 | 57.2 |
| Coding | — | 55.5 |
| Standard Benchmarks | ||
| GPQA | — | 94.1% |
| HLE | — | 44.7% |
| SciCode | — | 58.9% |
| LCR | — | 72.7% |
| IFBench | — | 77.1% |
| TAU-bench v2 | — | 95.6% |
| TerminalBench Hard | — | 53.8% |
Key Takeaways
V2-Chat offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
Gemini 3.1 Pro Preview has the strongest reasoning profile with a 65.3 reasoning score, combining the available reasoning-heavy benchmarks.
Gemini 3.1 Pro Preview reaches a 55.5 coding index, making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
V2-Chat
- Cost-sensitive applications
- High-volume processing
Gemini 3.1 Pro Preview
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
