MiniMax-M3 vs GLM-5.2
Side-by-side comparison of API pricing, specs, benchmarks, and capabilities
| Specification |
by MiniMax
3 providers:
Fireworks $0.300/$1.20
MiniMax $0.300/$1.20
Together $0.300/$1.20
|
by Z.AI
3 providers:
Fireworks $1.40/$4.40
Together $1.40/$4.40
Z.AI $1.40/$4.40
|
|---|---|---|
| Overview | ||
| Status | Current budget Open weights | Current flagship Open weights |
| Released | Jun 1, 2026 | Jun 13, 2026 |
| Pricing per million tokens | ||
| Input | $0.300/Mtok | $1.40/Mtok |
| Output | $1.20/Mtok | $4.40/Mtok |
| Blended avg | $0.525/Mtok | $2.15/Mtok |
| Cached input | $0.060/Mtok | $0.260/Mtok |
| Specifications | ||
| Context window | 1M tokens | 1M tokens |
| Parameters | Proprietary | Proprietary |
| Speed (TPS) | — | — |
| Modalities | ||
| Input |
textimagevideo
|
text
|
| Benchmarks source: Vellum LLM Leaderboard | ||
| Avg benchmark score | 63.1 | 76 |
| Perf / dollar | 120.2 | 35.3 |
| GPQA Diamond | 93 | 91.2 |
| SWE-Bench Verified | 45 | 45 vendor |
| Terminal-Bench 2.1 | 66 | 81 |
| MCP Atlas | 74.2 | 77 |
| Humanity's Last Exam | 22 | 54.7 |
| ARC-AGI 2 | 20 | 30 vendor |
| AIME 2025 | 55 | 70 vendor |
| MMMLU | 76 | 80 vendor |
| BFCL | 65 | 70 vendor |
| HumanEval | 80.5 | 84 vendor |
| MATH 500 | 70 | 76 vendor |
| BrowseComp | 83.5 | — |
| OSWorld-Verified | 70.1 | — |
| AIME 2026 | — | 99.2 |
| Independent composite scores each on its own scale — not part of the average above | ||
| AA Intelligence Index | 45.4 | 52.6 |
| AA Agentic Index | 36.1 | 45.7 |
| AA-Omniscience Index (−100–100) | 1.4 | 4.4 |
| GDPval-AA v2 | 1380.2 ELO | 1505.2 ELO |
| LMSYS Chatbot Arena | 1442 ELO | 1469.4 ELO |
| Providers | ||
| Available from |
Fireworks — $0.300/$1.20/Mtok
MiniMax — $0.300/$1.20/Mtok
Together — $0.300/$1.20/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 | MiniMax-M3 | GLM-5.2 | Savings |
|---|---|---|---|
| 1M tokens | $0.52 | $2.15 | $1.63 (75.8%) |
| 10M tokens | $5.25 | $21.5 | $16.25 (75.6%) |
| 100M tokens | $52.5 | $215 | $162.5 (75.6%) |
| 1000M tokens | $525 | $2150 | $1625 (75.6%) |
When to pick which
distilled from the pricing and spec data above- cost dominates: $0.525/Mtok blended vs $2.15 — 75.6% 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
- raw capability matters more than price: 76 vs 63.1 average benchmark score
Price movement
recorded changes since we began tracking each model · last checked Aug 28, 2026| Model | Changes | Latest move | Old → new $/M |
|---|---|---|---|
| MiniMax-M3 | 1 | price cut on Jun 17, 2026 | $0.6/$2.4 → $0.3/$1.2/Mtok |
| GLM-5.2 | 0 | — no move | Stable since we began tracking — no change recorded |
The cheaper option here — MiniMax-M3 costs $0.525/Mtok blended on MiniMax.
Summary
MiniMax-M3 by MiniMax costs $0.300/Mtok input and $1.20/Mtok output, with a 1M-token context window. It supports text, image, video input and is available from 3 providers.
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, MiniMax-M3 is 75.6% cheaper than GLM-5.2.
On benchmarks, GLM-5.2 scores higher (76 vs 63.1) on average. In terms of value, MiniMax-M3 has better performance per dollar (120.2 vs 35.3).
Note: Pricing is per million tokens. Actual costs vary with usage patterns, prompt caching, and batch discounts. Always verify against official provider pricing pages.