Skip to main content
AI Choice EngineAI Choice Engine

Model comparison

Cohere Command A+ vs GLM 5.3 Flash

Cohere against Z.ai, compared on context, price, and verified benchmark results.

Catalog record checked September 4, 2026Individual provider fields may changeEvidence confidence: High — see receipts below

Cohere

Cohere Command A+

Balanced · Open weights

vs

Z.ai

GLM 5.3 Flash

Balanced · Open weights

AI model capability comparison
SpecificationCohere Command A+GLM 5.3 Flash
ProviderCohereZ.ai
TierBalancedBalanced
Context window128KWinner: 1.05M
Max outputNot verifiedUnverified131K
Input / 1M tokens$0.80Winner: $0.15
Output / 1M tokens$3.20Winner: $0.50
WeightsOpenOpen
Parameters218B total / 25B active (sparse MoE)320B total / 18B active (MoE)
Reasoning levelslow, medium, highNot verifiedUnverified
Modalitiestexttext, image, video
LicenseApache 2.0MIT
API model idCohereLabs/command-a-plus-05-2026Not publishedUnverified
ReleasedMay 20, 2026August 26, 2026
Artificial Analysis Intelligence Index (2026-08-14)43Winner: 57
SWE-bench Verified (2026-09-01)Not verifiedUnverified92
Terminal-Bench 2.1 (2026-08)Not verifiedUnverified84.3
DeepSWE 1.1 (2026-08)Not verifiedUnverified63.4
Humanity's Last Exam (2026-08)Not verifiedUnverified55.3

Prices are USD per million tokens at standard rates, excluding batch and caching discounts. Bold indicates the better figure where one is objectively better. Values we could not confirm from the provider are shown as “Not verified” rather than estimated.

Benchmark receipts

  • 2026-09-01: vals.ai SWE-bench Verified leaderboard (independent, mini-swe-agent bash-only); not published by Z.aiReal GitHub issue resolution: does the model's patch pass the hidden tests. Comparability: comparable with caveat — Post-audit vendor claims and pre-audit scores sit on different task trust levels; scaffolding (agent harness, compute budget) also dominates results. Never aggregate across scaffolds.
  • 2026-08-26: Artificial AnalysisComposite index blending reasoning, knowledge, and coding evals into one 0–100 score. Comparability: directly comparable — AA occasionally rebaselines the index scale between snapshots — a score captured on one date is only comparable to same-snapshot scores (check measuredAt).
  • 2026-08: Z.ai GLM-5.3-Flash blog (vendor, mini-swe-agent, 400K context)Agentic software engineering: pass@1 on real repo tasks with reported cost per completed task. Comparability: directly comparable
  • 2026-08: GLM-5.3-Flash HF model card (vendor, with tools, full set)Agentic terminal work: multi-step tasks executed in a sandboxed shell environment. Comparability: comparable with caveat — Scores across Terminal-Bench major versions (v1 vs v2) are NOT comparable; harness configuration (container, time limits) also shifts results.

Pricing tiers: Cohere Command A+: Azure-hosted Global rate $0.80/$3.20 per MTok (effective 2026-07-01; Data Zone $0.88/$3.52). Cohere-direct publishes no per-token price: open weights (Apache 2.0), a free rate-limited trial API, and Model Vault/enterprise licensing. Cohere calls it the last model in the Command A family. 218B/25B active sparse MoE. · GLM 5.3 Flash: $0.15/$0.50 per MTok is the standard first-party and third-party rate (Z.ai docs; GMI, Novita, Together). A 50% promo tier runs $0.075/$0.25 — confirm which rate your account quotes.

BalancedOpen weightsRecord checked September 4, 2026

Cohere Command A+

Command A+ is Cohere's open-weight (Apache 2.0) 218B/25B sparse MoE for enterprise use.

Best for

  • Open-weight deployments
  • Enterprise RAG
  • Tool use

Watch out

The $0.80/$3.20 figure is the Azure-hosted rate, not a Cohere-direct price — Cohere itself sells licenses and a free rate-limited trial, so budget by deployment path.

BalancedOpen weightsRecord checked September 3, 2026

GLM 5.3 Flash

GLM 5.3 Flash is Z.ai's natively multimodal open-weight workhorse — 1M context, hybrid sparse/linear attention, near-flagship Intelligence Index at a fraction of the cost.

Best for

  • Cost-efficient long-context
  • Multimodal input
  • Coding agents

Watch out

Self-hosting needs ~186GB GPU memory at 4-bit (multi-GPU). Third-party hosts charge more than Z.ai's own API.

When the cheaper one wins

GLM 5.3 Flash is cheaper on output at $0.50 per million tokens against $3.20 for Cohere Command A+ — about 6.4×. Use the cheaper tier for classification, extraction, summarisation, and any task where the expensive model’s extra score does not change the accepted output. The expensive one only pays if your hardest task actually fails on the cheap tier. These are standard-tier API rates, excluding batch and cache discounts.

Run the model picker

Evidence confidence: High

How strong and complete the evidence behind this comparison is — not a prediction of which model is better.

  • Pricing verified on both sidesInput and output rates are verified for both models.
  • 3/5 core specs verified on both sidesNot published for at least one side: max output, reasoning levels.
  • 1 shared named benchmark with differing scoresMeasured on: Artificial Analysis Intelligence Index.
  • Verified within the last 90 daysNewest catalog check was 7 days ago.
  • Both models carry source citationsEach side has at least two catalog sources on record.

Source receipts

Each catalog figure was checked against the provider or an independent second source on the date shown.

Common questions

Cohere Command A+ vs GLM 5.3 Flash

Answered from the verified figures on this page rather than general guidance.

Is Cohere Command A+ or GLM 5.3 Flash cheaper for input?

GLM 5.3 Flash is cheaper at $0.15 per million input tokens, against $0.80 for Cohere Command A+ — roughly 5.3× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; Cohere Command A+ has tiered pricing: Azure-hosted Global rate $0.80/$3.20 per MTok (effective 2026-07-01; Data Zone $0.88/$3.52). Cohere-direct publishes no per-token price: open weights (Apache 2.0), a free rate-limited trial API, and Model Vault/enterprise licensing. Cohere calls it the last model in the Command A family. 218B/25B active sparse MoE. GLM 5.3 Flash has tiered pricing: $0.15/$0.50 per MTok is the standard first-party and third-party rate (Z.ai docs; GMI, Novita, Together). A 50% promo tier runs $0.075/$0.25 — confirm which rate your account quotes.

Is Cohere Command A+ or GLM 5.3 Flash cheaper for output?

GLM 5.3 Flash is cheaper at $0.50 per million output tokens, against $3.20 for Cohere Command A+ — roughly 6.4× the price. Output tokens usually dominate a real bill, so weigh the output rate more heavily than the input rate. These are base rates; Cohere Command A+ has tiered pricing: Azure-hosted Global rate $0.80/$3.20 per MTok (effective 2026-07-01; Data Zone $0.88/$3.52). Cohere-direct publishes no per-token price: open weights (Apache 2.0), a free rate-limited trial API, and Model Vault/enterprise licensing. Cohere calls it the last model in the Command A family. 218B/25B active sparse MoE. GLM 5.3 Flash has tiered pricing: $0.15/$0.50 per MTok is the standard first-party and third-party rate (Z.ai docs; GMI, Novita, Together). A 50% promo tier runs $0.075/$0.25 — confirm which rate your account quotes.

Which has the larger context window, Cohere Command A+ or GLM 5.3 Flash?

GLM 5.3 Flash accepts 1.05M tokens against 128K for Cohere Command A+. This only matters if you routinely send very long documents or large codebases.

Should I use Cohere Command A+ or GLM 5.3 Flash?

Both sit in the balanced tier, so the choice usually comes down to price and context rather than capability. Cohere Command A+ suits open-weight deployments; GLM 5.3 Flash suits cost-efficient long-context.

Next step

Choosing between them

The verified figures that separate this pair, computed from the catalog rather than restated boilerplate.

  • Input price: GLM 5.3 Flash costs $0.15 per 1M tokens versus $0.80 for Cohere Command A+ — a 5.3x difference at the headline tier.
  • Context: GLM 5.3 Flash takes 1.05M against 128K for Cohere Command A+ — only decisive if your prompts approach the smaller window.
  • Measured capability: GLM 5.3 Flash leads Artificial Analysis Intelligence Index 57 to 43 (measured 2026-08-14).

Choosing a harness rather than a model — Cursor, Copilot, Claude Code, Windsurf, or Lovable? Compare agentic harnesses · Latest releases.