Skip to main content
Kaino.dev
Discover
Evals
News
Academics
Insights
Kaino.dev

Discover, evaluate, and compare AI tools, models, and agents.

Explore

  • Discover
  • Evaluations
  • News
  • Academics
  • Insights

Community

  • Twitter
  • YouTube
  • Instagram
Privacy PolicyTerms of Service

© 2026 Kaino.dev. All rights reserved.

Version 1.1.0
DeepSeek: DeepSeek V4 Flash · Evaluations · Kaino
DeepSeek: DeepSeek V4 Flash logo
model evaluation

DeepSeek: DeepSeek V4 Flash

DeepSeek

DeepSeek-V4-Flash is a DeepSeek API model with 1M-token context, 384K maximum output, tool calls, JSON output, and OpenAI ChatCompletions and Anthropic-compatible access.

modellead-sourceopenrouter-modelsllmdeepseekdeepseek-v4-flashlong-contexttool-callingjson-outputopenai-compatibleanthropic-compatiblesource:api-docs.deepseek.com
71.0KAINO SCORERecommended
Evaluated Aug 11, 20262 reviews
Website Docs

Scorecard

PricingMultimodalCostDev expTechnicalSpeedCodingReasoningRiskAdoption
  • Technical capability100
  • Developer experience88
  • Pricing clarity74
  • Risk & evidence72
  • Cost effectiveness69
  • Multimodal & I/O68
  • Reasoning & knowledge62
  • Coding & agentic60
  • Speed & availability53
  • Adoption signal38

Kainotomic evaluation

DeepSeek: DeepSeek V4 Flash is a model from DeepSeek. This standardized model-evaluation pass uses the stored catalog profile as evidence: DeepSeek-V4-Flash is a DeepSeek API model with 1M-token context, 384K maximum output, tool calls, JSON output, and OpenAI ChatCompletions and Anthropic-compatible access.

The strongest available signals are catalog use-case guidance, 6 stated capabilities, 2 public technical links, pricing notes in the catalog row, 1 evidence family with sources. The current weighted score is 71/100, led by technical capability at 100/100, coding and agentic work at 60/100, and developer experience at 88/100.

The main caveats are some evidence searches failed and are recorded as warnings. Treat this pending evaluation as a Kainotomic expert draft that synthesizes available public evidence rather than a claim that we ran every benchmark ourselves.

Strengths

  • Has explicit when-to-use guidance.
  • Provides documentation link.
  • Provides website link.
  • Includes pricing notes.

Caveats

  • official_provider_docs: Grounded web search failed with HTTP 429
  • deepswe_datacurve: Grounded web search failed with HTTP 429
  • swe_bench: Grounded web search failed with HTTP 429
  • livecodebench: Grounded web search failed with HTTP 429
  • artificial_analysis: Grounded web search failed with HTTP 429
  • terminal_bench_aider: Grounded web search failed with HTTP 429
  • lmarena_arena_hard: Grounded web search failed with HTTP 429