LLM Comparison
DeepSeek V4 Pro vs Trinity Large Thinking
Side-by-side specs, pricing & capabilities · Updated August 2026
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 32 48.4 | |
| Family | DeepSeek V4 | Trinity |
| Status | Current | Current |
| Release Date | Apr 2026 | Apr 2026 |
| Context Window | 1.0M tokens | 262K tokens |
| Input Price | $0.43/M tokens | $0.22/M tokens |
| Output Price | $0.87/M tokens | $0.85/M tokens |
| Pricing Notes | DeepSeek API pricing lists $0.003625 cache-hit input, $0.435 cache-miss input, and $0.87 output per 1M tokens for deepseek-v4-pro; peak pricing may change after a future official announcement. | Cache read: $0.0600/M tokens |
| Capabilities | reasoningcodingtool-usestructured-outputlong-context | textcodeextended-thinking |
| Max Output | 393K tokens | 262K tokens |
| API Identifier | deepseek-v4-pro | arcee-ai/trinity-large-thinking |
| Benchmarks | ||
| Artificial Analysis Intelligence Index v4.1 | 44artificial-analysis | — |
| View DeepSeek V4 Pro | View Trinity Large Thinking | |
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| Trinity Large ThinkingCheapest | $0.22 | $0.43 | $0.65 | — |
| DeepSeek V4 Pro | $0.44 | $0.44 | $0.87 | +35% |
DeepSeek
DeepSeek V4 Pro
DeepSeek V4 Pro is an open-weight Mixture-of-Experts reasoning model for long-context coding, tool use, and agentic workloads through the DeepSeek API.
Arcee AI
Trinity Large Thinking
Trinity Large Thinking is a large language model from Arcee AI. Supports up to 262,144 token context window. Available from $0.22/M input tokens.
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