Command A vs GLM-5.2
Side-by-side comparison of API pricing, specs, benchmarks, and capabilities
| Specification |
by Cohere
|
by Z.AI
3 providers:
Fireworks $1.40/$4.40
Together $1.40/$4.40
Z.AI $1.40/$4.40
|
|---|---|---|
| Overview | ||
| Status | Current flagship | Current flagship Open weights |
| Released | Mar 13, 2025 | Jun 13, 2026 |
| Pricing per million tokens | ||
| Input | $2.50/Mtok | $1.40/Mtok |
| Output | $10.00/Mtok | $4.40/Mtok |
| Blended avg | $4.38/Mtok | $2.15/Mtok |
| Cached input | — | $0.260/Mtok |
| Specifications | ||
| Context window | 256K tokens | 1M tokens |
| Parameters | 111B | Proprietary |
| Speed (TPS) | — | — |
| Modalities | ||
| Input |
text
|
text
|
| Benchmarks sources: Cohere model card / Vellum LLM Leaderboard | ||
| GPQA Diamond | 50 vendor | 91.2 |
| SWE-Bench Verified | 25 vendor | 45 vendor |
| Humanity's Last Exam | 15 vendor | 54.7 |
| ARC-AGI 2 | 12 vendor | 30 vendor |
| AIME 2025 | 45 vendor | 70 vendor |
| MMMLU | 74 vendor | 80 vendor |
| BFCL | 60 vendor | 70 vendor |
| HumanEval | 78 vendor | 84 vendor |
| MATH 500 | 62 vendor | 76 vendor |
| Avg benchmark score | — | 76 |
| Perf / dollar | — | 35.3 |
| Terminal-Bench 2.1 | — | 81 |
| MCP Atlas | — | 77 |
| AIME 2026 | — | 99.2 |
| Independent composite scores each on its own scale — not part of the average above | ||
| LMSYS Chatbot Arena | 1353.9 ELO | 1469.4 ELO |
| AA Intelligence Index | — | 52.6 |
| AA Agentic Index | — | 45.7 |
| AA-Omniscience Index (−100–100) | — | 4.4 |
| GDPval-AA v2 | — | 1506.1 ELO |
| Providers | ||
| Available from |
Cohere — $2.50/$10.00/Mtok
|
Fireworks — $1.40/$4.40/Mtok
Together — $1.40/$4.40/Mtok
Z.AI — $1.40/$4.40/Mtok
|
Cost at scale
1M tokens · 50/50 input/output| Volume | Command A | GLM-5.2 | Savings |
|---|---|---|---|
| 1M tokens | $4.38 | $2.15 | $2.23 (51%) |
| 10M tokens | $43.75 | $21.5 | $22.25 (50.9%) |
| 100M tokens | $437.5 | $215 | $222.5 (50.9%) |
| 1000M tokens | $4375 | $2150 | $2225 (50.9%) |
When to pick which
distilled from the pricing and spec data above- this pairing gives Command A no edge on price, context, cache discount, or measured performance — pick it only for qualitative fit (ecosystem, compliance, model behavior on your prompts)
- cost dominates: $2.15/Mtok blended vs $4.38 — 50.9% less on the same 50/50 token mix
- your workload re-reads context (agents, RAG, long chats): cached input costs $0.260/Mtok — 81% off its list input price, a discount Command A doesn't offer
- you need the longer context: 1M tokens vs 256K (3.9×)
- you want open weights — self-host it, fine-tune it, or exit the API entirely; Command A is closed
- provider flexibility: available from 3 providers, so you can price-shop hosts or fail over
The cheaper option here — GLM-5.2 costs $2.15/Mtok blended on Z.AI.
Summary
Command A by Cohere costs $2.50/Mtok input and $10.00/Mtok output, with a 256K-token context window. It supports text input.
GLM-5.2 by Z.AI costs $1.40/Mtok input and $4.40/Mtok output, with a 1M-token context window. It supports text input and is available from 3 providers.
On a blended cost basis, GLM-5.2 is 50.9% cheaper than Command A.It also has a larger context window.
The two aren't directly comparable on average benchmark score: GLM-5.2 has published per-benchmark results, while Command A does not yet — it is measured today on independent composites (see the table above).
Note: Pricing is per million tokens. Actual costs vary with usage patterns, prompt caching, and batch discounts. Always verify against official provider pricing pages.