DeepSeek V4-Pro (Together) vs Kimi K2.6 (Together)
Detailed pricing comparison and cost analysis.
Updated September 2026
Cost Simulator
| Feature | DeepSeek V4-Pro (Together) | Kimi K2.6 (Together) |
|---|---|---|
| Provider | Together AI | Together AI |
| Input Price (1M) | $1.74 | $1.20 |
| Output Price (1M) | $3.48 | $4.50 |
| Context Window | 1,000,000 | 262,000 |
Verdict
DeepSeek V4-Pro (Together) costs $1.74 per 1M input tokens and $3.48 per 1M output tokens. Kimi K2.6 (Together) costs $1.20 per 1M input tokens and $4.50 per 1M output tokens. Kimi K2.6 (Together) is 31% cheaper on input tokens than DeepSeek V4-Pro (Together). For output tokens, DeepSeek V4-Pro (Together) is the more affordable option at $3.48/1M vs $4.50.
On context window, DeepSeek V4-Pro (Together) supports 1,000,000 tokens — meaning it can fit more conversation history, documents, or code in a single request. This matters for RAG pipelines, long document analysis, and agentic workflows where context builds up over many turns.
When to choose DeepSeek V4-Pro (Together)
- ✓ Your workload is output-heavy — DeepSeek V4-Pro (Together) generates text cheaper
- ✓ You need a larger context window (1,000,000 tokens)
- ✓ You are already integrated with Together AI
When to choose Kimi K2.6 (Together)
- ✓ You need the lowest input token cost ($ 1.20/1M)
- ✓ You are already integrated with Together AI
Use the calculator above to simulate your specific workload and find the exact break-even point. For most applications, the cheapest model is the one that minimises your total monthly bill given your input-to-output token ratio.
Frequently Asked Questions
Is DeepSeek V4-Pro (Together) cheaper than Kimi K2.6 (Together)? ▼
Kimi K2.6 (Together) is cheaper on input tokens at $1.20/1M vs $1.74/1M for DeepSeek V4-Pro (Together) — a 31% saving.
What is the context window of DeepSeek V4-Pro (Together) vs Kimi K2.6 (Together)? ▼
DeepSeek V4-Pro (Together) has a 1,000,000-token context window. Kimi K2.6 (Together) has a 262,000-token context window. DeepSeek V4-Pro (Together) supports the larger context, suitable for longer documents and agentic workflows.
Which model is better: DeepSeek V4-Pro (Together) or Kimi K2.6 (Together)? ▼
The best choice depends on your use case. For cost efficiency on input tokens, Kimi K2.6 (Together) is the cheaper option. For maximum context length, DeepSeek V4-Pro (Together) supports 1,000,000 tokens. Use the comparison table above to find the right fit for your workload.