| Signal | Google Gemini Flash Latest | Delta | Kimi K2 Thinking |
|---|---|---|---|
Capabilities | 100 | +33 | |
Pricing | 97 | 0 | |
Context window size | 96 | +10 | |
Recency | 100 | +1 | |
Output Capacity | 80 | -10 | |
Benchmarks | 0 | -51 | |
| Overall Result | 3 wins | of 6 | 3 wins |
Score History
40
current score
Kimi K2 Thinking
right now
53.3
current score
Moonshot AI
Kimi K2 Thinking saves you $15.00/month
That's $180.00/year compared to Google Gemini Flash Latest at your current usage level of 100K calls/month.
| Metric | Google Gemini Flash Latest | Kimi K2 Thinking | Winner |
|---|---|---|---|
| Overall Score | 40 | 53 | Kimi K2 Thinking |
| Rank | #195 | #165 | Kimi K2 Thinking |
| Quality Rank | #195 | #165 | Kimi K2 Thinking |
| Adoption Rank | #195 | #165 | Kimi K2 Thinking |
| Parameters | -- | -- | -- |
| Context Window | 1049K | 262K | Google Gemini Flash Latest |
| Pricing | $0.50/$3.00/M | $0.60/$2.50/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 67 | Google Gemini Flash Latest |
| Pricing | 97 | 98 | Kimi K2 Thinking |
| Context window size | 96 | 86 | Google Gemini Flash Latest |
| Recency | 100 | 99 | Google Gemini Flash Latest |
| Output Capacity | 80 | 90 | Kimi K2 Thinking |
| Benchmarks | -- | 51 | Kimi K2 Thinking |
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 53/100 (rank #165), placing it in the top 43% of all 290 models tracked.
Kimi K2 Thinking has a 13-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Kimi K2 Thinking offers 11% better value per quality point. At 1M tokens/day, you'd spend $46.50/month with Kimi K2 Thinking vs $52.50/month with Google Gemini Flash Latest - a $6.00 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. Kimi K2 Thinking 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 (53/100) 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
Kimi K2 Thinking clearly outperforms Google Gemini Flash Latest with a significant 13.299999999999997-point lead. For most general use cases, Kimi K2 Thinking is the stronger choice. However, Google Gemini Flash Latest may still excel in niche scenarios.
Best for Quality
Google Gemini Flash Latest
Marginally better benchmark scores; both are excellent
Best for Cost
Kimi K2 Thinking
11% 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 | Kimi K2 Thinking |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
Moonshot AI
Kimi K2 Thinking saves you $0.4200/month
That's 9% cheaper than Google Gemini Flash Latest 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 | Kimi K2 Thinking |
|---|---|---|
| Context Window | 1.0M | 262K |
| Max Output Tokens | 65,536 | 262,144 |
| Open Source | No | Yes |
| Created | Apr 27, 2026 | Nov 6, 2025 |