LLM Reference

DeepSeek V4 Flash vs GLM-5

DeepSeek V4 Flash (2026) and GLM-5 (2026) are frontier-tier reasoning models from DeepSeek and Zhipu AI. DeepSeek V4 Flash ships a 1m-token context window, while GLM-5 ships a 200k-token context window. On MMLU PRO, DeepSeek V4 Flash leads by 0.4 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

DeepSeek V4 Flash fits 5x more tokens; pick it for long-context work and GLM-5 for tighter calls.

Decision scorecard

Local evidence first
SignalDeepSeek V4 FlashGLM-5
Best forreasoning-heavy apps, tool-calling agents, and long-context analysisreasoning-heavy apps, tool-calling agents, and provider-routed production
Decision fitCoding, RAG, and AgentsCoding, RAG, and Agents
Context window1m200k
Cheapest output$0.12/1M tokens$2.08/1M tokens
Provider routes5 tracked7 tracked
Shared benchmarksMMLU PRO leader6 shared

Decision tradeoffs

Choose DeepSeek V4 Flash when...
  • DeepSeek V4 Flash holds a shared-benchmark lead on MMLU PRO, ahead by 0.4 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.
  • Local decision data tags DeepSeek V4 Flash for Coding, RAG, and Agents.
Choose GLM-5 when...
  • GLM-5 holds a shared-benchmark lead on SWE-bench Pro, ahead by 2.5 points.
  • GLM-5 has broader tracked provider coverage for fallback and route flexibility.
  • Local decision data tags GLM-5 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

GLM-5

$1,000

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $924. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

DeepSeek V4 Flash -> GLM-5
  • Provider overlap exists on OpenRouter, Vercel AI Gateway, and Novita AI; start route-level A/B tests there.
  • GLM-5 is $1.96/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
GLM-5 -> DeepSeek V4 Flash
  • Provider overlap exists on OpenRouter, Vercel AI Gateway, and Novita AI; start route-level A/B tests there.
  • DeepSeek V4 Flash is $1.96/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.

Specs

Specification
Released2026-04-242026-02-11
Context window1m200k
Parameters284B744B total, 40B active
ArchitectureMixture of ExpertsMixture of Experts
LicenseMITOSI-approvedMITOSI-approved
OpennessOpen sourceOpen source
WeightsAvailableAvailable
CodeUnknownUnknown
Commercial useCommercial use: permittedCommercial use: permitted
Knowledge cutoff-2025-11

Pricing and availability

Pricing attributeDeepSeek V4 FlashGLM-5
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.
$0.60/1M 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.
$2.08/1M tokens
Providers

Capabilities

CapabilityDeepSeek V4 FlashGLM-5
VisionNoNo
MultimodalNoNo
ReasoningYesYes
JSON / Tool useYesYes
Structured outputsYesYes
Code executionNoNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkDeepSeek V4 FlashGLM-5
MMLU PRO86.486.0
SWE-bench Verified79.077.8
SWE-bench Pro52.655.1
Google-Proof Q&A88.186.0
LiveCodeBench91.681.9
Humanity's Last Exam34.830.5

Continue comparing

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