Model Comparison

GLM-5 vs GLM-5.1

GLM-5.1 significantly outperforms across most benchmarks. GLM-5 is 1.4x cheaper per token.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GLM-5 outperforms in 0 benchmarks, while GLM-5.1 is better at 3 benchmarks (BrowseComp, MCP Atlas, Terminal-Bench 2.0).

GLM-5.1 significantly outperforms across most benchmarks.

Thu Apr 09 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GLM-5 costs less

For input processing, GLM-5 ($1.00/1M tokens) is 1.4x cheaper than GLM-5.1 ($1.40/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 1.4x cheaper than GLM-5.1 ($4.40/1M tokens).

In conclusion, GLM-5.1 is more expensive than GLM-5.*

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

Lowest available price from all providers
Thu Apr 09 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerUnknown Organization
Zhipu AI
GLM-5.1
Input tokens$1.40
Output tokens$4.40
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

10.0B diff

GLM-5.1 has 10.0B more parameters than GLM-5, making it 1.3% larger.

Zhipu AI
GLM-5
744.0Bparameters
Zhipu AI
GLM-5.1
754.0Bparameters
744.0B
GLM-5
754.0B
GLM-5.1

Context Window

Maximum input and output token capacity

Both models have the same input context window of 200,000 tokens. Both models can generate responses up to 128,000 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Zhipu AI
GLM-5.1
Input200,000 tokens
Output128,000 tokens
Thu Apr 09 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

GLM-5.1

MIT

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while GLM-5.1 was released on 2026-04-07.

GLM-5.1 is 2 months newer than GLM-5.

GLM-5

Feb 11, 2026

1 months ago

GLM-5.1

Apr 7, 2026

2 days ago

1mo 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. GLM-5.1 is available from ZAI.

GLM-5

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

GLM-5.1

z logo
Unknown Organization
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI
Less expensive input tokens
Less expensive output tokens
Zhipu AI
Higher BrowseComp score (79.3% vs 75.9%)
Higher MCP Atlas score (71.8% vs 67.8%)
Higher Terminal-Bench 2.0 score (69.0% vs 56.2%)

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Zhipu AI
GLM-5.1

FAQ

Common questions about GLM-5 vs GLM-5.1

GLM-5.1 significantly outperforms across most benchmarks. GLM-5 is made by Zhipu AI and GLM-5.1 is made by Zhipu AI. 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%. GLM-5.1 scores Vending-Bench 2: 100.0%, AIME 2026: 95.3%, HMMT 2025: 94.0%, GPQA: 86.2%, IMO-AnswerBench: 83.8%.
GLM-5 is 1.4x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via z. GLM-5.1 costs $1.40/M input and $4.40/M output via z.
GLM-5 supports 200K tokens and GLM-5.1 supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include input pricing ($1.00 vs $1.40/M). See the full comparison above for benchmark-by-benchmark results.