Compare/GLM-4.6V (Non-reasoning) vs DeepSeek V4 Pro (Reasoning, Max Effort)

GLM-4.6V (Non-reasoning)vsDeepSeek V4 Pro (Reasoning, Max Effort)

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

Z AI

GLM-4.6V (Non-reasoning)

Input
$0.3/M
Output
$0.9/M
Speed
42 tok/s
TTFT
0.99s
DeepSeek

DeepSeek V4 Pro (Reasoning, Max Effort)

Input
$0.435/M
Output
$0.87/M
Speed
62 tok/s
TTFT
1.04s

Winner by Category

Cheaper
GLM-4.6V (Non-reasoning)
Faster (tok/s)
DeepSeek V4 Pro (Reasoning, Max Effort)
Lower Latency
GLM-4.6V (Non-reasoning)
Benchmarks (4-7)
DeepSeek V4 Pro (Reasoning, Max Effort)

Pricing Comparison

MetricGLM-4.6V (Non-reasoning)DeepSeek V4 Pro (Reasoning, Max Effort)
Input ($/M tokens)$0.3$0.435
Output ($/M tokens)$0.9$0.87
Cost for 1M input + 100K output tokens:
GLM-4.6V (Non-reasoning)$0.39
DeepSeek V4 Pro (Reasoning, Max Effort)$0.52

Speed Comparison

Output Speed (tokens/s) — higher is better
GLM-4.6V (Non-reasoning)
42 tok/s
DeepSeek V4 Pro (Reasoning, Max Effort)
62 tok/s
Time to First Token (seconds) — lower is better
GLM-4.6V (Non-reasoning)
0.99s
DeepSeek V4 Pro (Reasoning, Max Effort)
1.04s

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
11.044.3
Coding Index
59.4
Math Index
26.3
GPQA Diamond
56.6%88.8%
MMLU-Pro
75.2%
LiveCodeBench
41.1%
AIME 2025
26.3%
MATH-500
Humanity's Last Exam
3.7%35.9%
SciCode
27.2%50.0%
IFBench
27.9%76.5%
TerminalBench
3.0%46.2%
GLM-4.6V (Non-reasoning)4 wins
7 winsDeepSeek V4 Pro (Reasoning, Max Effort)

Frequently Asked Questions

Which is cheaper, GLM-4.6V (Non-reasoning) or DeepSeek V4 Pro (Reasoning, Max Effort)?

GLM-4.6V (Non-reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.45/M tokens vs $0.54/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 4 for GLM-4.6V (Non-reasoning). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

DeepSeek V4 Pro (Reasoning, Max Effort) generates tokens faster at 62 tok/s vs 42 tok/s. GLM-4.6V (Non-reasoning) also has lower time-to-first-token (0.99s vs 1.04s).

When should I use GLM-4.6V (Non-reasoning) vs DeepSeek V4 Pro (Reasoning, Max Effort)?

Choose based on your priorities: GLM-4.6V (Non-reasoning) for lower cost, DeepSeek V4 Pro (Reasoning, Max Effort) for stronger benchmark performance, and DeepSeek V4 Pro (Reasoning, Max Effort) for faster generation. For latency-sensitive apps, check the TTFT comparison above.