DeepSeek V4 Flash vs Grok Build 0.1

DeepSeek V4 Flash (2026) and Grok Build 0.1 (2026) compare a standalone API model against a coding-specialized model. DeepSeek V4 Flash ships a 1m-token context window, while Grok Build 0.1 ships a 256k-token context window. On pricing, DeepSeek V4 Flash ranges from $0.22 to $0.44/1M input tokens by tier; Grok Build 0.1 ranges from $1 to $2/1M input tokens by tier. This page treats the result as workflow and deployment fit, not a universal model winner.

Treat this as a product-type comparison: DeepSeek V4 Flash is standalone API model, while Grok Build 0.1 is coding-specialized model. Choose based on workflow fit before reading any benchmark or price row as decisive.

Decision scorecard

Local evidence first
SignalDeepSeek V4 FlashGrok Build 0.1
Product typeStandalone API modelCoding-specialized model
Best forreasoning-heavy apps, tool-calling agents, and long-context analysiscustom coding agents, code generation, and tool loops
Decision fitCoding, RAG, and AgentsCoding, RAG, and Agents
Context window1m256k
Cheapest output$0.12/1M tokens$2/1M tokens
Provider routes5 tracked3 tracked
Shared benchmarks0 shared0 shared

Decision tradeoffs

Choose DeepSeek V4 Flash when...
  • DeepSeek V4 Flash has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • DeepSeek V4 Flash has the lower cheapest tracked output price at $0.12/1M tokens.
  • DeepSeek V4 Flash has broader tracked provider coverage for fallback and route flexibility.
  • Local decision data tags DeepSeek V4 Flash for Coding, RAG, and Agents.
Choose Grok Build 0.1 when...
  • Grok Build 0.1 uniquely exposes Vision and Multimodal in local model data.
  • Local decision data tags Grok Build 0.1 for Coding, RAG, and Agents.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Lower estimate DeepSeek V4 Flash

DeepSeek V4 Flash

$76.26

Cheapest tracked route/tier: OpenRouter

Grok Build 0.1

$1,300

Cheapest tracked route/tier: xAI Console

Estimated monthly gap: $1,224. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

DeepSeek V4 Flash -> Grok Build 0.1
  • Provider overlap exists on Vercel AI Gateway and OpenRouter; start route-level A/B tests there.
  • Grok Build 0.1 is $1.88/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Grok Build 0.1 adds Vision and Multimodal in local capability data.
Grok Build 0.1 -> DeepSeek V4 Flash
  • Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
  • DeepSeek V4 Flash is $1.88/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Vision and Multimodal before moving production traffic.

Specs

Specification
Released2026-04-242026-05-14
Context window1m256k
Parameters284B—
ArchitectureMixture of Experts-
LicenseMITOSI-approvedProprietary
OpennessOpen sourceProprietary
WeightsAvailableNot released
CodeUnknownUnknown
Commercial useCommercial use: permittedCommercial use: conditional
Knowledge cutoff--

Pricing and availability

Pricing attributeDeepSeek V4 FlashGrok Build 0.1
Input price
Off-peak
$0.22/1M tokens
All UTC hours outside DeepSeek's peak windows. Cache-hit input: $0.007 per 1M tokens; cache-miss input: $0.22 per 1M; output: $0.66 per 1M.
Peak
$0.44/1M tokens
01:00-04:00 and 06:00-10:00 UTC. Cache-hit input: $0.014 per 1M tokens; cache-miss input: $0.44 per 1M; output: $1.32 per 1M.
0-200,001t
$1/1M tokens
200,001t+
$2/1M tokens
Output price
Off-peak
$0.66/1M tokens
All UTC hours outside DeepSeek's peak windows. Cache-hit input: $0.007 per 1M tokens; cache-miss input: $0.22 per 1M; output: $0.66 per 1M.
Peak
$1.32/1M tokens
01:00-04:00 and 06:00-10:00 UTC. Cache-hit input: $0.014 per 1M tokens; cache-miss input: $0.44 per 1M; output: $1.32 per 1M.
0-200,001t
$2/1M tokens
200,001t+
$4/1M tokens
Providers

Capabilities

CapabilityDeepSeek V4 FlashGrok Build 0.1
VisionNoYes
MultimodalNoYes
ReasoningYesYes
JSON / Tool useYesYes
Structured outputsYesYes
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark scores are currently available for this pair.

Continue comparing

Last reviewed: 2026-10-10. Data sourced from public model cards and provider documentation.