LLM Comparison
Kimi K2 Thinking vs Muse Spark 1.1
Side-by-side specs, pricing & capabilities · Updated September 2026
Price vs Intelligence
Add to comparison
2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 65 42.0 | 60 21.9 |
| Family | Kimi | Muse Spark |
| Status | Current | Current |
| Release Date | Nov 2025 | Jul 2026 |
| Context Window | 262K tokens | 1.0M tokens |
| Input Price | $0.60/M tokens | $1.25/M tokens |
| Output Price | $2.50/M tokens | $4.25/M tokens |
| Pricing Notes | Cache read: $0.1500/M tokens | Artificial Analysis reports Meta API pricing at $1.25 input, $4.25 output, and $0.15 cached input per 1M tokens for the xhigh variant. |
| Capabilities | textcodeextended-thinking | reasoningtool-usecomputer-usecodingmultimodallong-contextstructured-output |
| Max Output | 262K tokens | 131K tokens |
| API Identifier | moonshotai/kimi-k2-thinking | muse-spark-1.1 |
| Benchmarks | ||
| GPQA | 84.5https://huggingface.co/moonshotai/Kimi-K2-Thinking | — |
| MMLU-Pro | 84.6https://huggingface.co/moonshotai/Kimi-K2-Thinking | — |
| GPQA Diamond | 83.8384artificial-analysis | 89.798artificial-analysis |
| AIME 2025 | 94.6667artificial-analysis | — |
| Artificial Analysis Intelligence Index v4.1 | — | 51artificial-analysis |
| Artificial Analysis Intelligence Index v4.3 | — | 34https://artificialanalysis.ai/models/muse-spark-1-1/ |
| SciCode | — | 58.7963artificial-analysis |
| Terminal-Bench 2.1 | — | 77.9026artificial-analysis |
| View Kimi K2 Thinking | View Muse Spark 1.1 | |
Cost Calculator
Enter your expected monthly token usage to compare costs.
| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| Kimi K2 ThinkingCheapest | $0.60 | $1.25 | $1.85 | — |
| Muse Spark 1.1 | $1.25 | $2.13 | $3.38 | +82% |
Moonshot AI
Kimi K2 Thinking
Kimi K2 Thinking is a large language model from Moonshot AI. Supports up to 262,144 token context window. Available from $0.60/M input tokens.
Meta
Muse Spark 1.1
Muse Spark 1.1 is Meta's multimodal reasoning model for agentic coding, computer-use workflows, tool calling, and long-context tasks through the Meta Model API.
More Comparisons
Looking for more AI models?
Browse All LLMs