Compare DeepSeek-V4-Flash (DeepSeek) and Kimi-K2.6 (Moonshotai) by price, context, capabilities, and latency.
Side by side
Compare price, provider, context, capabilities, latency, and source basis.
| Model | Provider | Input | Output | Context | Capabilities | Best for | Latency | Status | Source |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek-V4-Flashdeepseek/deepseek-v4-flash | DeepSeek | $0.14 / 1M tokens | $0.28 / 1M tokens | 1M | StreamingTool callingJSON modeLong context | Chinese Q&A, general chat | 1679-6515ms | Catalog | Platform curated |
| Kimi-K2.6moonshotai/kimi-k2.6 | Moonshotai | $0.9 / 1M tokens | $3.72 / 1M tokens | 256k | StreamingTool callingJSON modeVision | image understanding, multimodal chat | 1429-10923ms | Catalog | Platform curated |
FAQ
DeepSeek-V4-Flash is cheaper ($0.14 / 1M tokens input / $0.28 / 1M tokens output) vs Kimi-K2.6 ($0.9 / 1M tokens input / $3.72 / 1M tokens output). Actual cost depends on your input/output token mix — estimate it with the pricing calculator.
DeepSeek-V4-Flash is larger (1M tokens) vs 256k tokens.
Both target Long context. Pick DeepSeek-V4-Flash to optimize cost, or DeepSeek-V4-Flash for the longer context window. Test both on real prompts before committing production traffic.
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