DeepSeek: DeepSeek V4 Flash 0423 vs Meta: Llama 4 Maverick
DeepSeek V4 Flash 0423 vs Meta: Llama 4 Maverick: compare current API pricing, context, provider routes, privacy, p50 latency, and OpenAI-compatible access.
Practical read
Monthly evidenceDeepSeek V4 Flash 0423 has the lower published input-plus-output rate, more Credits provider routes, the larger context window and the lower measured p50 time to first token.
The price comparison adds each route's rate for one million input tokens and one million output tokens; your cost depends on your input/output mix. Prices and live route measurements can change. Use the monthly reports when you need a stable evidence window, then run a small task-specific eval before choosing a production default.
deepseek/deepseek-v4-flashmeta-llama/llama-4-maverick
DeepSeek: DeepSeek V4 Flash 0423 routes
- Overview16 Credits routes
- PricingInput, cached input, and output rates
- BenchmarksTrustedRouter and external sources
- ProvidersAll serving providers
Related comparisons
Browse every comparison- DeepSeek: DeepSeek V4 Flash 0423 vs Z.ai: GLM 5.244 combined provider routes
- DeepSeek: DeepSeek V4 Flash 0423 vs Z.ai: GLM 5.342 combined provider routes
- DeepSeek: DeepSeek V4 Flash 0423 vs Z.ai: GLM 5.3 Flash41 combined provider routes
- DeepSeek: DeepSeek V4 Flash 0423 vs DeepSeek: DeepSeek V4 Flash 073140 combined provider routes
- DeepSeek: DeepSeek V4 Flash 0423 vs MoonshotAI: Kimi K340 combined provider routes
- DeepSeek: DeepSeek V4 Flash 0423 vs OpenAI: gpt-oss-120b38 combined provider routes
- DeepSeek: DeepSeek V4 Flash 0423 vs MoonshotAI: Kimi K2.635 combined provider routes
- DeepSeek: DeepSeek V4 Flash 0423 vs DeepSeek: DeepSeek V4 Pro 042333 combined provider routes
Pick a default model. Keep fallback enabled.
TrustedRouter is useful when you know the model you want, but still need provider rollover, budget limits, usage records, and a prompt path you can verify.
client = OpenAI(
base_url="https://api.trustedrouter.com/v1",
api_key="sk-tr-v1-..."
)
response = client.chat.completions.create(
model="deepseek/deepseek-v4-flash",
messages=messages,
)
Questions
Which should I use, DeepSeek: DeepSeek V4 Flash 0423 or Meta: Llama 4 Maverick?
DeepSeek V4 Flash 0423 has the lower published input-plus-output rate, more Credits provider routes, the larger context window and the lower measured p50 time to first token.
Is DeepSeek: DeepSeek V4 Flash 0423 or Meta: Llama 4 Maverick cheaper?
The current cheapest TrustedRouter route is $0.24898/1M for DeepSeek: DeepSeek V4 Flash 0423 and $0.94528/1M for Meta: Llama 4 Maverick. The comparison uses current catalog prices and updates as provider pricing changes.
Is DeepSeek: DeepSeek V4 Flash 0423 or Meta: Llama 4 Maverick faster?
Current measured p50 time to first token is 1146 ms for DeepSeek: DeepSeek V4 Flash 0423 and 1206 ms for Meta: Llama 4 Maverick. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.
Can I test DeepSeek: DeepSeek V4 Flash 0423 and Meta: Llama 4 Maverick with the same API?
Yes. Use the same OpenAI-compatible TrustedRouter base URL and API key, then change only the model id between deepseek/deepseek-v4-flash and meta-llama/llama-4-maverick. This makes side-by-side evals possible without maintaining two provider integrations.