Compare DeepSeek: DeepSeek V4 Flash (DeepSeek) and Meta: Llama 4 Maverick (Meta) by price, context, capabilities, and latency.
Cote a cote
Comparez le prix, le fournisseur, le contexte, les capacites, la latence et la base de source.
| Model | Provider | Input | Output | Context | Capabilities | Best for | Latency | Status | Source |
|---|---|---|---|---|---|---|---|---|---|
| DeepSeek: DeepSeek V4 Flashdeepseek/deepseek-v4-flash | DeepSeek | $0.112 / 1M tokens | $0.224 / 1M tokens | 1M | Tool callingJSON modeLong contextReasoning | low-cost Chinese tasks, long-context summary | 800-2600ms | Catalog | OpenRouter if available |
| Meta: Llama 4 Maverickmeta-llama/llama-4-maverick | Meta | $0.15 / 1M tokens | $0.6 / 1M tokens | 1M | JSON modeLong contextStreamingLow cost | open-model workflows, cost-sensitive long context | 950-2800ms | Catalog | OpenRouter if available |
FAQ
DeepSeek: DeepSeek V4 Flash is cheaper ($0.112 / 1M tokens input / $0.224 / 1M tokens output) vs Meta: Llama 4 Maverick ($0.15 / 1M tokens input / $0.6 / 1M tokens output). Actual cost depends on your input/output token mix — estimate it with the pricing calculator.
Both offer the same context window: 1M tokens.
Both target Low cost. Pick DeepSeek: DeepSeek V4 Flash to optimize cost, or DeepSeek: DeepSeek V4 Flash for the longer context window. Test both on real prompts before committing production traffic.