LLM Comparison
DeepSeek V3.1 Terminus vs Muse Spark 1.1
Side-by-side specs, pricing & capabilities · Updated September 2026
Price vs Intelligence
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 40 80.8 | 60 21.9 |
| Family | DeepSeek | Muse Spark |
| Status | Current | Current |
| Release Date | Sep 2025 | Jul 2026 |
| Context Window | 164K tokens | 1.0M tokens |
| Input Price | $0.21/M tokens | $1.25/M tokens |
| Output Price | $0.79/M tokens | $4.25/M tokens |
| Pricing Notes | Cache read: $0.1300/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 | textcode | reasoningtool-usecomputer-usecodingmultimodallong-contextstructured-output |
| Max Output | — | 131K tokens |
| API Identifier | deepseek/deepseek-v3.1-terminus | muse-spark-1.1 |
| Benchmarks | ||
| MMLU-Pro | 85deepseek | — |
| GPQA Diamond | 80.7deepseek | 89.798artificial-analysis |
| AIME 2025 | 53.7deepseek | — |
| LiveCodeBench | 74.9deepseek | — |
| SWE-bench Verified | 68.4deepseek | — |
| Terminal-Bench Hard | 31.8deepseek | — |
| HLE | 21.7deepseek | — |
| 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 DeepSeek V3.1 Terminus | View Muse Spark 1.1 | |
Cost Calculator
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| DeepSeek V3.1 TerminusCheapest | $0.21 | $0.40 | $0.61 | — |
| Muse Spark 1.1 | $1.25 | $2.13 | $3.38 | +458% |
DeepSeek
DeepSeek V3.1 Terminus
DeepSeek V3.1 Terminus is a large language model from DeepSeek. Supports up to 163,840 token context window. Achieves 87.1% on MMLU. Available from $0.21/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.
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