Compare/GLM-4.6V (Reasoning) vs DeepSeek V3 (Dec '24)

GLM-4.6V (Reasoning)vsDeepSeek V3 (Dec '24)

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

Z AI

GLM-4.6V (Reasoning)

Input
$0.3/M
Output
$0.9/M
Speed
23 tok/s
TTFT
1.01s
DeepSeek

DeepSeek V3 (Dec '24)

Input
$0.4/M
Output
$0.89/M
Speed
TTFT

Winner by Category

Cheaper
GLM-4.6V (Reasoning)
Faster (tok/s)
GLM-4.6V (Reasoning)
Lower Latency
DeepSeek V3 (Dec '24)
Benchmarks (8-4)
GLM-4.6V (Reasoning)

Pricing Comparison

MetricGLM-4.6V (Reasoning)DeepSeek V3 (Dec '24)
Input ($/M tokens)$0.3$0.4
Output ($/M tokens)$0.9$0.89
Cost for 1M input + 100K output tokens:
GLM-4.6V (Reasoning)$0.39
DeepSeek V3 (Dec '24)$0.49

Speed Comparison

Output Speed (tokens/s) — higher is better
GLM-4.6V (Reasoning)
23 tok/s
DeepSeek V3 (Dec '24)
Time to First Token (seconds) — lower is better
GLM-4.6V (Reasoning)
1.01s
DeepSeek V3 (Dec '24)

Benchmark Comparison

Data from Artificial Analysis API — 12 benchmarks

Intelligence Index
23.416.5
Coding Index
19.716.4
Math Index
85.326.0
GPQA Diamond
71.9%55.7%
MMLU-Pro
79.9%75.2%
LiveCodeBench
16.0%35.9%
AIME 2025
85.3%26.0%
MATH-500
88.7%
Humanity's Last Exam
8.9%3.6%
SciCode
30.4%35.4%
IFBench
30.1%34.8%
TerminalBench
14.4%6.8%
GLM-4.6V (Reasoning)8 wins
4 winsDeepSeek V3 (Dec '24)

Frequently Asked Questions

Which is cheaper, GLM-4.6V (Reasoning) or DeepSeek V3 (Dec '24)?

GLM-4.6V (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $0.45/M tokens vs $0.63/M for DeepSeek V3 (Dec '24).

Which model performs better on benchmarks?

GLM-4.6V (Reasoning) wins 8 out of 12 benchmarks compared to 4 for DeepSeek V3 (Dec '24). See the detailed benchmark chart above for per-category results.

Which is faster for real-time applications?

GLM-4.6V (Reasoning) generates tokens faster at 23 tok/s vs 0 tok/s. However, DeepSeek V3 (Dec '24) has lower time-to-first-token (0.00s vs 1.01s).

When should I use GLM-4.6V (Reasoning) vs DeepSeek V3 (Dec '24)?

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