LLM Comparison
Apodex 1.1 vs DeepSeek V3.1 Terminus
Side-by-side specs, pricing & capabilities · Updated September 2026
Price vs Intelligence
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 38 28.4 | 40 80.8 |
| Family | Apodex | DeepSeek |
| Status | Current | Current |
| Release Date | Aug 2026 | Sep 2025 |
| Context Window | 262K tokens | 164K tokens |
| Input Price | $0.24/M tokens | $0.21/M tokens |
| Output Price | $2.40/M tokens | $0.79/M tokens |
| Pricing Notes | Limited-time 20% discount, USD per 1M tokens: $0.24 input, $0.024 cached input and $2.40 output. Standard prices are $0.30, $0.03 and $3.00. Requests above 200K input tokens cost 2x all applicable rates for the whole request. No campaign end date is stated; recheck pricing before use. | Cache read: $0.1300/M tokens |
| Capabilities | textreasoningcodelong-contextstreaming | textcode |
| Max Output | 262K tokens | — |
| API Identifier | apodex-1.1 | deepseek/deepseek-v3.1-terminus |
| Benchmarks | ||
| Artificial Analysis Intelligence Index v4.1.1 | 44artificial-analysis | — |
| GPQA Diamond | 86.3636artificial-analysis | 80.7deepseek |
| SciCode | 45.4861artificial-analysis | — |
| Terminal-Bench 2.1 | 69.6629artificial-analysis | — |
| MMLU-Pro | — | 85deepseek |
| AIME 2025 | — | 53.7deepseek |
| LiveCodeBench | — | 74.9deepseek |
| SWE-bench Verified | — | 68.4deepseek |
| Terminal-Bench Hard | — | 31.8deepseek |
| HLE | — | 21.7deepseek |
| View Apodex 1.1 | View DeepSeek V3.1 Terminus | |
Cost Calculator
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| DeepSeek V3.1 TerminusCheapest | $0.21 | $0.40 | $0.61 | — |
| Apodex 1.1 | $0.24 | $1.20 | $1.44 | +138% |
Apodex
Apodex 1.1
Apodex 1.1 is a proprietary long-context reasoning model for complex professional work, research, coding, and evidence-heavy analysis through a first-party API.
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.
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