| Signal | GPT-4o-mini (2024-07-18) | Delta | Kimi K2 0711 |
|---|---|---|---|
Capabilities | 67 | +33 | |
Benchmarks | 50 | 0 | |
Pricing | 99 | +2 | |
Context window size | 81 | 0 | |
Recency | 18 | -65 | |
Output Capacity | 70 | -15 | |
| Overall Result | 2 wins | of 6 | 4 wins |
Score History
51.9
current score
GPT-4o-mini (2024-07-18)
right now
51.4
current score
OpenAI
Moonshot AI
GPT-4o-mini (2024-07-18) saves you $127.00/month
That's $1524.00/year compared to Kimi K2 0711 at your current usage level of 100K calls/month.
| Metric | GPT-4o-mini (2024-07-18) | Kimi K2 0711 | Winner |
|---|---|---|---|
| Overall Score | 52 | 51 | GPT-4o-mini (2024-07-18) |
| Rank | #152 | #153 | GPT-4o-mini (2024-07-18) |
| Quality Rank | #152 | #153 | GPT-4o-mini (2024-07-18) |
| Adoption Rank | #152 | #153 | GPT-4o-mini (2024-07-18) |
| Parameters | -- | -- | -- |
| Context Window | 128K | 131K | Kimi K2 0711 |
| Pricing | $0.15/$0.60/M | $0.57/$2.30/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 33 | GPT-4o-mini (2024-07-18) |
| Benchmarks | 50 | 51 | Kimi K2 0711 |
| Pricing | 99 | 98 | GPT-4o-mini (2024-07-18) |
| Context window size | 81 | 81 | Kimi K2 0711 |
| Recency | 18 | 84 | Kimi K2 0711 |
| Output Capacity | 70 | 85 | Kimi K2 0711 |
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 52/100 (rank #152), placing it in the top 48% of all 290 models tracked.
Scores 51/100 (rank #153), placing it in the top 48% of all 290 models tracked.
With only a 1-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.
GPT-4o-mini (2024-07-18) offers 74% better value per quality point. At 1M tokens/day, you'd spend $11.25/month with GPT-4o-mini (2024-07-18) vs $43.05/month with Kimi K2 0711 - a $31.80 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
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. GPT-4o-mini (2024-07-18) also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.60/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (52/100) 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
GPT-4o-mini (2024-07-18) and Kimi K2 0711 are extremely close in overall performance (only 0.5 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-4o-mini (2024-07-18)
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-4o-mini (2024-07-18)
74% lower pricing; better value at scale
Best for Reliability
GPT-4o-mini (2024-07-18)
Higher uptime and faster response speeds
Best for Prototyping
GPT-4o-mini (2024-07-18)
Stronger community support and better developer experience
Best for Production
GPT-4o-mini (2024-07-18)
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-4o-mini (2024-07-18) | Kimi K2 0711 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
Moonshot AI
GPT-4o-mini (2024-07-18) saves you $2.80/month
That's 74% cheaper than Kimi K2 0711 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 | GPT-4o-mini (2024-07-18) | Kimi K2 0711 |
|---|---|---|
| Context Window | 128K | 131K |
| Max Output Tokens | 16,384 | 131,072 |
| Open Source | No | Yes |
| Created | Jul 18, 2024 | Jul 11, 2025 |
GPT-4o-mini (2024-07-18) scores 52/100 (rank #152) compared to Kimi K2 0711's 51/100 (rank #153), giving it a 1-point advantage. GPT-4o-mini (2024-07-18) is the stronger overall choice, though Kimi K2 0711 may excel in specific areas like certain benchmarks.
GPT-4o-mini (2024-07-18) is ranked #152 and Kimi K2 0711 is ranked #153 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
GPT-4o-mini (2024-07-18) is cheaper at $0.60/M output tokens vs Kimi K2 0711's $2.30/M output tokens - 3.8x more expensive. Input token pricing: GPT-4o-mini (2024-07-18) at $0.15/M vs Kimi K2 0711 at $0.57/M.
Kimi K2 0711 has a larger context window of 131,072 tokens compared to GPT-4o-mini (2024-07-18)'s 128,000 tokens. A larger context window means the model can process longer documents and conversations.