DeepSeek·released 2026-04-221 source
Not yet benchmarked
Consensus: LiteLLM · Cross-check: models.dev, OpenRouter · See every model’s pricing →
Claims drawn from cited facts, not live model generation.
This model was developed by DeepSeek and released in 2026, with a parameter count of 290.94 billion, placing it at frontier scale. That scale implies substantial modeling headroom but also considerable compute and cost requirements.
3 cited facts
This model is not yet benchmarked.
1 cited fact
The model leads on 0 tracked benchmarks, so it has no category leadership to claim. With an unknown average gap to SOTA and no benchmark leads, it is not positioned at the frontier based on the available record.
3 cited facts
7 facts cross-checked across data sources: 3 single-source, 4 disputed.
Source facts, citations, and refresh stamp for this record.
Sources: huggingface_models, litellm_prices, modelsdev_models, openrouter_models
DeepSeek-V4-Flash is an AI model developed by DeepSeek, released 2026-04-22. Its benchmark record below tags every score as independently reproduced, self-reported, or unverified.
Listed API pricing: $0.44 per million input tokens, $1.32 per million output tokens (prices disputed across sources). See the pricing block for the full breakdown.