Compare/DeepSeek V4 Pro (Reasoning, Max Effort) vs GLM-5 (Reasoning)

DeepSeek V4 Pro (Reasoning, Max Effort)vsGLM-5 (Reasoning)

Side-by-side comparison of pricing, 12 benchmarks, and generation speed.

DeepSeek

DeepSeek V4 Pro (Reasoning, Max Effort)

Input
$1.74/M
Output
$3.48/M
Speed
29 tok/s
TTFT
1.15s
Z AI

GLM-5 (Reasoning)

Input
$1/M
Output
$3.2/M
Speed
68 tok/s
TTFT
0.78s

Winner by Category

Cheaper
GLM-5 (Reasoning)
Faster (tok/s)
GLM-5 (Reasoning)
Lower Latency
GLM-5 (Reasoning)
Benchmarks (7-0)
DeepSeek V4 Pro (Reasoning, Max Effort)

Pricing Comparison

MetricDeepSeek V4 Pro (Reasoning, Max Effort)GLM-5 (Reasoning)
Input ($/M tokens)$1.74$1
Output ($/M tokens)$3.48$3.2
Cost for 1M input + 100K output tokens:
DeepSeek V4 Pro (Reasoning, Max Effort)$2.09
GLM-5 (Reasoning)$1.32

Speed Comparison

Output Speed (tokens/s) — higher is better
DeepSeek V4 Pro (Reasoning, Max Effort)
29 tok/s
GLM-5 (Reasoning)
68 tok/s
Time to First Token (seconds) — lower is better
DeepSeek V4 Pro (Reasoning, Max Effort)
1.15s
GLM-5 (Reasoning)
0.78s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
51.549.8
Coding Index
47.544.2
Math Index
GPQA Diamond
88.8%82.0%
MMLU-Pro
LiveCodeBench
AIME 2025
MATH-500
Humanity's Last Exam
35.9%27.2%
SciCode
50.0%46.2%
IFBench
76.5%72.3%
TerminalBench
46.2%43.2%
DeepSeek V4 Pro (Reasoning, Max Effort)7 wins
0 winsGLM-5 (Reasoning)

Frequently Asked Questions

Which is cheaper, DeepSeek V4 Pro (Reasoning, Max Effort) or GLM-5 (Reasoning)?

GLM-5 (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $1.55/M tokens vs $2.17/M for DeepSeek V4 Pro (Reasoning, Max Effort).

Which model performs better on benchmarks?

DeepSeek V4 Pro (Reasoning, Max Effort) wins 7 out of 12 benchmarks compared to 0 for GLM-5 (Reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GLM-5 (Reasoning) generates tokens faster at 68 tok/s vs 29 tok/s. However, GLM-5 (Reasoning) has lower time-to-first-token (0.78s vs 1.15s).

When should I use DeepSeek V4 Pro (Reasoning, Max Effort) vs GLM-5 (Reasoning)?

Choose based on your priorities: GLM-5 (Reasoning) for lower cost, DeepSeek V4 Pro (Reasoning, Max Effort) for stronger benchmark performance, and GLM-5 (Reasoning) for faster generation. For latency-sensitive apps, check the TTFT comparison above.