GPT-5.6 Sol vs Kimi K3 (Comparative Analysis)
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Comparative Analysis: GPT-5.6 Sol vs. Kimi K3
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Overview
GPT-5.6 Sol was released 7 days before Kimi K3.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 1.1M tokens | 1M tokens |
Output Token Limit Maximum output tokens this model can generate at once | 128K tokens | Not specified tokens |
Release Date When this model first became publicly available | July 9, 2026 17 days ago July 9th, 2026 | July 16, 2026 10 days ago July 16th, 2026 |
Knowledge Cutoff Latest training-data date reported by the provider | February 16, 2026 | Not reported |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
GPT-5.6 Sol | Kimi K3 | |
|---|---|---|
Input Types Supported input formats | 📁File🖼️Image📝Text | 📝Text🖼️Image |
Reasoning Controls Defaults and configurable reasoning effort | Enabled by defaultEffort: Max, Extra High, High, Medium, Low, NoneDefault: Medium | Enabled by defaultEffort: Max, High, LowDefault: Max |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | GPT | Other |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning Mode✓Content Moderation | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation |
Pricing
GPT-5.6 Sol is roughly 1.7x more expensive compared to Kimi K3 for input tokens and roughly 2.0x more expensive for output tokens.
Short Context Pricing Base rates before a long-context threshold applies | ||
|---|---|---|
Input Token Cost Cost per million input tokens | $5.00 per million tokens | $3.00 per million tokens |
Output Token Cost Cost per million output tokens | $30.00 per million tokens | $15.00 per million tokens |
Web Search Cost Additional cost for each web search operation | $0.01 per search | Not specified |
Cache Read Cost Cost to reuse cached input tokens | $0.50 per million tokens | $0.30 per million tokens |
Cache Write Cost Cost to write input tokens to the cache | $6.25 per million tokens | Not specified |
Long Context Pricing Rates for prompts with 272,000 or more tokens | ||
Input Token Cost Long-context input cost per million tokens | $10.00 per million tokens | Not specified |
Output Token Cost Long-context output cost per million tokens | $45.00 per million tokens | Not specified |
Cache Read Cost Long-context cache read cost per million tokens | $1.00 per million tokens | Not specified |
Cache Write Cost Long-context cache write cost per million tokens | $12.50 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between GPT-5.6 Sol and Kimi K3.
Intelligence Index Overall model quality across independent evaluations | 58.9 (Artificial Analysis index; higher is better) | 57.1 (Artificial Analysis index; higher is better) |
Coding Index Programming performance across independent evaluations | 77.4 (Artificial Analysis index; higher is better) | 76.2 (Artificial Analysis index; higher is better) |
Agentic Index Ability to complete multi-step agentic tasks | 54 (Artificial Analysis index; higher is better) | 50.1 (Artificial Analysis index; higher is better) |
Best Design Arena Score Highest human-preference Elo score across design arenas | Benchmark not available. | 1,458 Elo (#1 in 3D (69.7% win rate)) |
At a Glance
Quick overview of what makes GPT-5.6 Sol and Kimi K3 unique.
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