LLM Reference

DeepSeek V4 Flash vs GPT-5.2 Codex

DeepSeek V4 Flash (2026) and GPT-5.2 Codex (2025) compare a standalone API model against a coding-specialized model. DeepSeek V4 Flash ships a 1m-token context window, while GPT-5.2 Codex ships a 400k-token context window. On SWE-bench Verified, DeepSeek V4 Flash leads by 6.2 pts. On pricing, DeepSeek V4 Flash ranges from $0.22 to $0.44/1M input tokens by tier; GPT-5.2 Codex costs $1.75/1M input tokens. 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 GPT-5.2 Codex 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 FlashGPT-5.2 Codex
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 window1m400k
Cheapest output$0.12/1M tokens$14/1M tokens
Provider routes5 tracked2 tracked
Shared benchmarksSWE-bench Verified leader3 shared

Decision tradeoffs

Choose DeepSeek V4 Flash when...
  • DeepSeek V4 Flash holds a shared-benchmark lead on SWE-bench Verified, ahead by 6.2 points.
  • 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 GPT-5.2 Codex when...
  • GPT-5.2 Codex holds a shared-benchmark lead on SWE-bench Pro, ahead by 3.8 points.
  • GPT-5.2 Codex uniquely exposes Vision, Multimodal, and Code execution in local model data.
  • Local decision data tags GPT-5.2 Codex 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

GPT-5.2 Codex

$4,900

Cheapest tracked route/tier: Vercel AI Gateway

Estimated monthly gap: $4,824. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

DeepSeek V4 Flash -> GPT-5.2 Codex
  • Provider overlap exists on Vercel AI Gateway; start route-level A/B tests there.
  • GPT-5.2 Codex is $13.88/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • GPT-5.2 Codex adds Vision, Multimodal, and Code execution in local capability data.
GPT-5.2 Codex -> DeepSeek V4 Flash
  • Provider overlap exists on Vercel AI Gateway; start route-level A/B tests there.
  • DeepSeek V4 Flash is $13.88/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Vision, Multimodal, and Code execution before moving production traffic.

Specs

Specification
Released2026-04-242025-12-18
Context window1m400k
Parameters284B
ArchitectureMixture of ExpertsDecoder Only
LicenseMITOSI-approvedProprietary
OpennessOpen sourceProprietary
WeightsAvailableNot released
CodeUnknownUnknown
Commercial useCommercial use: permittedCommercial use: conditional
Knowledge cutoff-2025-08

Pricing and availability

Pricing attributeDeepSeek V4 FlashGPT-5.2 Codex
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.
$1.75/1M 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.
$14/1M tokens
Providers

Capabilities

CapabilityDeepSeek V4 FlashGPT-5.2 Codex
VisionNoYes
MultimodalNoYes
ReasoningYesYes
JSON / Tool useYesYes
Structured outputsYesYes
Code executionNoYes
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkDeepSeek V4 FlashGPT-5.2 Codex
SWE-bench Verified79.072.8
SWE-bench Pro52.656.4
Terminal-Bench 2.056.964.0

Continue comparing

Last reviewed: 2026-07-03. Data sourced from public model cards and provider documentation.