Grok 4.3 vs GLM 5
Grok 4.3 (xAI, released April 2026) and GLM 5 (Z.ai, released February 2026) both target agentic and coding workloads but land in different spots on price and input handling. Grok 4.3 accepts text, image, and file input with a 1M-token context window; GLM 5 is text-only at 202,752 tokens but built specifically for long-horizon agent workflows and large-scale programming. The gap that matters most for most builders: GLM 5 costs less than half as much per input token.
Spec vs spec
| Spec | Grok 4.3 | GLM 5 |
|---|---|---|
| Context window | 1M | 203K |
| Input modalities | text, image, file | text |
| Output modalities | text | text |
| Released | Apr 30, 2026 | Feb 11, 2026 |
| Reasoning | optional | optional |
Pricing
Per 1M tokens. Provider price plus the flat 3% fee — the sum is what you pay.
x-ai/grok-4.3
Input · 1M tokens
$1.25 + 3%$1.29
Output · 1M tokens
$2.50 + 3%$2.58
Cache read · 1M tokens
$0.200 + 3%$0.206
FEE — FLAT, EVERY MODEL3%
z-ai/glm-5
Input · 1M tokens
$0.600 + 3%$0.618
Output · 1M tokens
$1.92 + 3%$1.98
Cache read · 1M tokens
$0.120 + 3%$0.124
FEE — FLAT, EVERY MODEL3%
One workload, priced on both
10M input + 2M output tokens at each model's price, flat 3% fee included.
x-ai/grok-4.3
$18.03
$17.50 provider + 3%
z-ai/glm-5Cheaper
$10.14
$9.84 provider + 3%
Benchmarks
Design Arena categories where both models have results. Higher Elo and lower rank win.
| Grok 4.3 | GLM 5 | |||
|---|---|---|---|---|
| Category | Elo | Rank | Elo | Rank |
| 3D | 1202 | #43 | 1307 | #15 |
| androidnative | 1074 | #23 | 1244 | #6 |
| ASCII art | 1189 | #27 | 1192 | #26 |
| Code | 1243 | #31 | 1295 | #16 |
| Data viz | 1234 | #35 | 1269 | #22 |
| Full-stack | 1072 | #26 | 1190 | #13 |
| Game dev | 1242 | #34 | 1299 | #15 |
| godotgamedev | 1134 | #16 | 1237 | #3 |
| Mobile apps | 1146 | #26 | 1222 | #10 |
| SVG | 1140 | #44 | 1225 | #19 |
| UI components | 1250 | #31 | 1287 | #21 |
| Websites | 1244 | #31 | 1290 | #18 |
Head-to-head preference voting. How we filter and rank
Pricing math
Grok 4.3 lists at $1.25/M input and $2.50/M output from xAI; on OpenKey that's $1.25 x 1.03 = $1.2875/M input and $2.50 x 1.03 = $2.575/M output. GLM 5 lists at $0.60/M input and $1.92/M output; on OpenKey that's $0.60 x 1.03 = $0.618/M input and $1.92 x 1.03 = $1.9776/M output. Grok 4.3's input price is 2.08x GLM 5's. Run the numbers on a real workload — 10M input tokens plus 2M output tokens — and Grok 4.3 costs $17.50 versus GLM 5's $9.84. That's a fixed gap you pay on every batch job, not a one-time difference. Both models are billed through OpenKey with a single key and the same flat 3% fee on top of provider list price, so there's no platform markup difference to factor in — the price gap is entirely between xAI and Z.ai's own list prices.
Agentic and coding benchmarks
On the Design Arena categories both models are scored in, GLM 5 leads across the board: androidnative (elo 1244, rank 6, 62% win rate) versus Grok 4.3 (elo 1074, rank 23, 28.6% win rate); fullstack (GLM 5 elo 1190 rank 13 vs Grok 4.3 elo 1072 rank 26); godotgamedev (GLM 5 elo 1237 rank 3 vs Grok 4.3 elo 1134 rank 16); mobileapps (GLM 5 elo 1222 rank 10 vs Grok 4.3 elo 1146 rank 26). The pattern repeats in model-level categories like codecategories (GLM 5 elo 1295 rank 16 vs Grok 4.3 elo 1243 rank 31) and gamedev (GLM 5 elo 1299 rank 15 vs Grok 4.3 elo 1242 rank 34). Grok 4.3 does hold its own on Artificial Analysis metrics not measured for GLM 5: intelligence index 37.6, coding index 42.2, agentic index 24.1 — but there's no matching GLM 5 score to compare directly.
Context and modality
Grok 4.3 supports 1,000,000 tokens of context against GLM 5's 202,752 — a 4.93x ratio. If you're feeding in full codebases, long transcripts, or multi-document retrieval sets, Grok 4.3 has meaningfully more room before you need to chunk or summarize. Grok 4.3 also accepts image and file inputs alongside text; GLM 5 is text-in, text-out only. If your pipeline needs to read screenshots, PDFs, or diagrams, GLM 5 is out regardless of its price or benchmark advantages. Neither model publishes a max completion token cap in this data, and neither has a listed knowledge cutoff date.
When to pick each
Pick Grok 4.3 when the task involves images, files, or documents beyond 202K tokens — the 1M context window and multimodal input are the whole reason to pay more. Pick GLM 5 for pure coding and agent workloads at scale: it wins on every shared Design Arena benchmark and costs $9.84 versus $17.50 on the same 10M/2M workload, a difference that compounds fast in CI pipelines or batch agent runs. Both are available on OpenKey under one key with the standard 3% fee, so switching between them for different jobs doesn't mean managing two sets of credentials.
Which model for which job
| Use case | Pick | Why |
|---|---|---|
| Long-document analysis (>200K tokens) | Grok 4.3 | 1M context window vs GLM 5's 202,752 |
| Image or file-based agent tasks | Grok 4.3 | Only Grok 4.3 accepts image and file input; GLM 5 is text-only |
| High-volume coding agents | GLM 5 | Leads Grok 4.3 in codecategories (elo 1295 vs 1243) and costs less |
| Mobile or Android app generation | GLM 5 | androidnative elo 1244, rank 6, vs Grok 4.3's elo 1074, rank 23 |
| Cost-sensitive batch jobs | GLM 5 | $9.84 vs $17.50 on a 10M-input/2M-output workload |
| Full-stack web app scaffolding | GLM 5 | fullstack elo 1190, rank 13, vs Grok 4.3's elo 1072, rank 26 |
Questions
- Which is cheaper, Grok 4.3 or GLM 5?
- GLM 5. On OpenKey it's $0.618/M input and $1.9776/M output versus Grok 4.3's $1.2875/M input and $2.575/M output — Grok 4.3's input price is 2.08x GLM 5's. On a 10M-input/2M-output workload, that's $9.84 for GLM 5 versus $17.50 for Grok 4.3.
- Which model has a bigger context window?
- Grok 4.3, by a wide margin: 1,000,000 tokens versus GLM 5's 202,752, a ratio of 4.93x. If your workload needs more than 200K tokens of context in a single call, GLM 5 can't handle it and Grok 4.3 is the only option here.
- Can GLM 5 process images?
- No. GLM 5's modality is text-to-text only. Grok 4.3 accepts text, image, and file inputs and outputs text, so any workload involving screenshots, PDFs, or diagrams has to go to Grok 4.3.
- Which model wins on coding benchmarks?
- GLM 5, on every shared Design Arena category. In codecategories GLM 5 scores elo 1295 (rank 16) versus Grok 4.3's elo 1243 (rank 31). In fullstack GLM 5 hits elo 1190 (rank 13) against Grok 4.3's elo 1072 (rank 26).