Deepinfra Llama 4 Maverick 17B 128e Instruct
Llama · → text
Input$0.33 /M
Output$1.32 /M
← ModelsDeepinfra Llama 4 Maverick 17B 128e Instruct
GLM 5.2
Deepinfra Llama 4 Maverick 17B 128e Instruct vs GLM 5.2
Compare Deepinfra Llama 4 Maverick 17B 128e Instruct from Llama and GLM 5.2 from Z.AI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
Deepinfra Llama 4 Maverick 17B 128e InstructGLM 5.2+ Add model · 2/4
GLM 5.2
Z.AI · text → text
GLM-5.2 is Z.ai’s flagship model for the era of long-horizon tasks. With a truly usable 1M-token context window, it can handle project-level engineering context, execute long-running tasks more reliably, follow engineering standards more consistently, and complete the full development workflow from requirements to multi-platform deployment in a single task.
Input$1.1268 /M
Output$3.9438 /M
Cache read$0.2817 /M
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Deepinfra Llama 4 Maverick 17B 128e Instruct
GLM 5.2
Input /M
$0.33
$1.1268
Output /M
$1.32
$3.9438
Cache read /M
-
$0.2817
Context length
0
1,000,000
Max output
0
131,072
Time to First Token
2.2 s
0.7 s
Throughput
45.1 tok/s
37.0 tok/s
Modalities
text
Supported Parameters
thinkingtoolsfunction callingstructured outputs
API Formats
chat_completions · claude_api
Released
-
June 16, 2026
Promotional prices show the discounted rate; see each model page for promotion windows.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
deepinfra-llama-4-maverick-17b-128e-instructglm-5.2
Tokens / day
-
Requests / day
-
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
deepinfra-llama-4-maverick-17b-128e-instructglm-5.2
Throughput (tok/s)
-
TTFT (s)
-
Uptime (%)
-
LMArena Benchmarks
LMArena ratings by capability (Bradley-Terry, commonly called Elo). Higher is better.
Text
deepinfra-llama-4-maverick-17b-128e-instructglm-5.2
1280136014401520
Overall
13271472
Coding
13731509
Math
13171476
Hard prompts
13381492
Instruction following
13131465
Multi-turn
13261469
Creative writing
13071451
Longer query
13341482
Chinese
13331517
English
13401480
Source: LMArena (arena.ai) leaderboard, imported by AIHubMix. Models without published ratings are omitted per chart.
Cost calculator
Estimate your monthly bill for the same workload on each model.
Deepinfra Llama 4 Maverick 17B 128e Instruct
$39.60 /mo
GLM 5.2
$127 /mo
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: Deepinfra Llama 4 Maverick 17B 128e Instruct, GLM 5.2?
Deepinfra Llama 4 Maverick 17B 128e Instruct: $1.32/M output tokens; GLM 5.2: $3.9438/M. Use the cost calculator above to estimate your own workload.
How do their coding arena scores compare?
GLM 5.2: 1509; Deepinfra Llama 4 Maverick 17B 128e Instruct: 1373 (LMArena coding leaderboard).
Which responds faster?
GLM 5.2: 0.7s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
Which one generates tokens faster?
Deepinfra Llama 4 Maverick 17B 128e Instruct at 45.1 tok/s and GLM 5.2 at 37.0 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
Can I call Deepinfra Llama 4 Maverick 17B 128e Instruct and GLM 5.2 with the same API key?
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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