Make AI phone calls with one API call

Start for free

Model Comparison

GLM-5 vs DeepSeek-V4-Flash-Max

DeepSeek-V4-Flash-Max shows notably better performance in the majority of benchmarks. DeepSeek-V4-Flash-Max is 8.9x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

GLM-5 outperforms in 1 benchmarks (BrowseComp), while DeepSeek-V4-Flash-Max is better at 3 benchmarks (MCP Atlas, SWE-Bench Verified, Terminal-Bench 2.0).

DeepSeek-V4-Flash-Max shows notably better performance in the majority of benchmarks.

Fri Apr 24 2026 • llm-stats.com

Arena Performance

Human preference votes

CallingBox

Done comparing? Ship the phone agent.

One API for outbound and inbound calls.

Start for freeRead the docs
$0.05 /min all-in7 lines of code

Pricing Analysis

Price comparison per million tokens

DeepSeek-V4-Flash-Max costs less

For input processing, GLM-5 ($1.00/1M tokens) is 7.1x more expensive than DeepSeek-V4-Flash-Max ($0.14/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 11.4x more expensive than DeepSeek-V4-Flash-Max ($0.28/1M tokens).

In conclusion, GLM-5 is more expensive than DeepSeek-V4-Flash-Max.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Apr 24 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerUnknown Organization
DeepSeek
DeepSeek-V4-Flash-Max
Input tokens$0.14
Output tokens$0.28
Best providerDeepSeek
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

460.0B diff

GLM-5 has 460.0B more parameters than DeepSeek-V4-Flash-Max, making it 162.0% larger.

Zhipu AI
GLM-5
744.0Bparameters
DeepSeek
DeepSeek-V4-Flash-Max
284.0Bparameters
744.0B
GLM-5
284.0B
DeepSeek-V4-Flash-Max

Context Window

Maximum input and output token capacity

DeepSeek-V4-Flash-Max accepts 1,048,576 input tokens compared to GLM-5's 200,000 tokens. DeepSeek-V4-Flash-Max can generate longer responses up to 393,216 tokens, while GLM-5 is limited to 128,000 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
DeepSeek
DeepSeek-V4-Flash-Max
Input1,048,576 tokens
Output393,216 tokens
Fri Apr 24 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

GLM-5

MIT

Open weights

DeepSeek-V4-Flash-Max

MIT

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while DeepSeek-V4-Flash-Max was released on 2026-04-23.

DeepSeek-V4-Flash-Max is 2 months newer than GLM-5.

GLM-5

Feb 11, 2026

2 months ago

DeepSeek-V4-Flash-Max

Apr 23, 2026

1 days ago

2mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

GLM-5 is available from ZAI. DeepSeek-V4-Flash-Max is available from DeepSeek.

GLM-5

z logo
Unknown Organization
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M

DeepSeek-V4-Flash-Max

deepseek logo
DeepSeek
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI
Higher BrowseComp score (75.9% vs 73.2%)
DeepSeek
Larger context window (1,048,576 tokens)
Less expensive input tokens
Less expensive output tokens
Higher MCP Atlas score (69.0% vs 67.8%)
Higher SWE-Bench Verified score (79.0% vs 77.8%)
Higher Terminal-Bench 2.0 score (56.9% vs 56.2%)

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
DeepSeek
DeepSeek-V4-Flash-Max

FAQ

Common questions about GLM-5 vs DeepSeek-V4-Flash-Max

DeepSeek-V4-Flash-Max shows notably better performance in the majority of benchmarks. GLM-5 is made by Zhipu AI and DeepSeek-V4-Flash-Max is made by DeepSeek. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. DeepSeek-V4-Flash-Max scores CodeForces: 100.0%, HMMT Feb 26: 94.8%, LiveCodeBench: 91.6%, IMO-AnswerBench: 88.4%, GPQA: 88.1%.
DeepSeek-V4-Flash-Max is 7.1x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via z. DeepSeek-V4-Flash-Max costs $0.14/M input and $0.28/M output via deepseek.
GLM-5 supports 200K tokens and DeepSeek-V4-Flash-Max supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (200K vs 1.0M), input pricing ($1.00 vs $0.14/M). See the full comparison above for benchmark-by-benchmark results.
GLM-5 is developed by Zhipu AI and DeepSeek-V4-Flash-Max is developed by DeepSeek.