Gemini 3.1 Pro Preview vs Kimi K2 0905
| Signal | Gemini 3.1 Pro Preview | Delta | Kimi K2 0905 |
|---|---|---|---|
Capabilities | 100 | +50 | |
Benchmarks | 92 | +41 | |
Pricing | 88 | -9 | |
Context window size | 96 | +10 | |
Recency | 100 | +27 | |
Output Capacity | 80 | -3 | |
| Overall Result | 4 wins | of 6 | 2 wins |
Score History
92.2
current score
Gemini 3.1 Pro Preview
right now
52.4
current score
Gemini 3.1 Pro Preview
Kimi K2 0905
Moonshot AI
Kimi K2 0905 saves you $615.00/month
That's $7380.00/year compared to Gemini 3.1 Pro Preview at your current usage level of 100K calls/month.
| Metric | Gemini 3.1 Pro Preview | Kimi K2 0905 | Winner |
|---|---|---|---|
| Overall Score | 92 | 52 | Gemini 3.1 Pro Preview |
| Rank | #11 | #170 | Gemini 3.1 Pro Preview |
| Quality Rank | #11 | #170 | Gemini 3.1 Pro Preview |
| Adoption Rank | #11 | #170 | Gemini 3.1 Pro Preview |
| Parameters | -- | -- | -- |
| Context Window | 1049K | 262K | Gemini 3.1 Pro Preview |
| Pricing | $2.00/$12.00/M | $0.60/$2.50/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 50 | Gemini 3.1 Pro Preview |
| Benchmarks | 92 | 51 | Gemini 3.1 Pro Preview |
| Pricing | 88 | 98 | Kimi K2 0905 |
| Context window size | 96 | 86 | Gemini 3.1 Pro Preview |
| Recency | 100 | 73 | Gemini 3.1 Pro Preview |
| Output Capacity | 80 | 83 | Kimi K2 0905 |
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 92/100 (rank #11), placing it in the top 97% of all 290 models tracked.
Scores 52/100 (rank #170), placing it in the top 42% of all 290 models tracked.
Gemini 3.1 Pro Preview has a 40-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Choose Gemini 3.1 Pro Preview when you need:
- 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 Kimi K2 0905 when you need:
- High-volume production workloads where API costs must be minimized
- Self-hosted deployments where you need full control over the model
Kimi K2 0905 offers 78% better value per quality point. At 1M tokens/day, you'd spend $46.50/month with Kimi K2 0905 vs $210.00/month with Gemini 3.1 Pro Preview - a $163.50 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. Kimi K2 0905 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 ($2.50/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (92/100) 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 3.1 Pro Preview clearly outperforms Kimi K2 0905 with a significant 39.800000000000004-point lead. For most general use cases, Gemini 3.1 Pro Preview is the stronger choice. However, Kimi K2 0905 may still excel in niche scenarios.
By Use Case
Best for Quality
Gemini 3.1 Pro Preview
Marginally better benchmark scores; both are excellent
Best for Cost
Kimi K2 0905
78% lower pricing; better value at scale
Best for Reliability
Gemini 3.1 Pro Preview
Higher uptime and faster response speeds
Best for Prototyping
Gemini 3.1 Pro Preview
Stronger community support and better developer experience
Best for Production
Gemini 3.1 Pro Preview
Wider enterprise adoption and proven at scale
by Google
- Choose for Quality - Marginally better benchmark scores; both are excellent
- 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 3.1 Pro Preview | Kimi K2 0905 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
Gemini 3.1 Pro Preview
Kimi K2 0905
Moonshot AI
Kimi K2 0905 saves you $13.92/month
That's 77% cheaper than Gemini 3.1 Pro Preview 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 3.1 Pro Preview | Kimi K2 0905 |
|---|---|---|
| Context Window | 1.0M | 262K |
| Max Output Tokens | 65,536 | 100,352 |
| Open Source | No | Yes |
| Created | Feb 19, 2026 | Sep 4, 2025 |