Model Comparison

GLM-5 vs Mercury 2

Comparing GLM-5 and Mercury 2 across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and Mercury 2 don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Mercury 2 costs less

For input processing, GLM-5 ($1.00/1M tokens) is 4.0x more expensive than Mercury 2 ($0.25/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 4.3x more expensive than Mercury 2 ($0.75/1M tokens).

In conclusion, GLM-5 is more expensive than Mercury 2.*

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

Lowest available price from all providers
Sun Apr 12 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerUnknown Organization
Inception
Mercury 2
Input tokens$0.25
Output tokens$0.75
Best providerInception
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GLM-5 accepts 200,000 input tokens compared to Mercury 2's 128,000 tokens. GLM-5 can generate longer responses up to 128,000 tokens, while Mercury 2 is limited to 8,192 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Inception
Mercury 2
Input128,000 tokens
Output8,192 tokens
Sun Apr 12 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Mercury 2 uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

GLM-5

MIT

Open weights

Mercury 2

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Mercury 2 was released on 2026-02-24.

Mercury 2 is 0 month newer than GLM-5.

GLM-5

Feb 11, 2026

2 months ago

Mercury 2

Feb 24, 2026

1 months ago

1w 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. Mercury 2 is available from Inception.

GLM-5

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

Mercury 2

inception logo
Inception
Input Price:Input: $0.25/1MOutput Price:Output: $0.75/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI
Larger context window (200,000 tokens)
Has open weights
Inception
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Inception
Mercury 2

FAQ

Common questions about GLM-5 vs Mercury 2

GLM-5 (Zhipu AI) and Mercury 2 (Inception) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
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%. Mercury 2 scores AIME 2025: 91.1%, GPQA: 74.0%, IFBench: 71.0%, LiveCodeBench: 67.0%, Tau2 Airline: 53.0%.
Mercury 2 is 4.0x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via z. Mercury 2 costs $0.25/M input and $0.75/M output via inception.
GLM-5 supports 200K tokens and Mercury 2 supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (200K vs 128K), input pricing ($1.00 vs $0.25/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
GLM-5 is developed by Zhipu AI and Mercury 2 is developed by Inception.