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Mercury 2 vs GLM 4.7 Flash

Detailed technical comparison between Mercury 2 (Inception AI) and GLM 4.7 Flash (Zhipu AI). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.

⚡ Executive Summary & Verdict

Comparison Snapshot

Mercury 2: 5 WinsvsGLM 4.7 Flash: 1 Win
Context Leader

GLM 4.7 Flash

202,752 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GLM 4.7 Flash

$0.06 / MTok
Inception AIactive

Mercury 2

Mercury 2 is an extremely fast reasoning LLM, and the first reasoning diffusion LLM (dLLM). Instead of generating tokens sequentially, Mercury 2 produces and refines multiple tokens in parallel, achieving...

View Mercury 2 Full Specs →
Zhipu AIactive

GLM 4.7 Flash

As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning,...

View GLM 4.7 Flash Full Specs →

Technical Specifications

🏆 = Superior Spec
SpecificationMercury 2GLM 4.7 Flash
ProviderInception AIZhipu AI
Context Window128,000 tokens202,752 tokens🏆
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apimanaged api
Production StabilityStable GA (est.)Stable GA (est.)
API AvailableYesYes
Released Date2026-03-042026-01-19

API Pricing Comparison

Input Price per Million Tokens

Mercury 2

$0.25

GLM 4.7 Flash

$0.06

Output Price per Million Tokens

Mercury 2

$0.75

GLM 4.7 Flash

$0.40

💡 Cost Ratio: GLM 4.7 Flash is 4.2x cheaper per input token than Mercury 2.

Want to test both models live?

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Benchmark Performance Metrics

Standardized Scores (0–100%)

Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.

MMLUGeneral knowledge & multi-task understanding
79.2%vs77.2%+2.0% Mercury 2
Mercury 2 🏆
GLM 4.7 Flash
HumanEvalPython coding & logic synthesis
77.4%vs78.5%+1.1% GLM 4.7 Flash
Mercury 2
GLM 4.7 Flash 🏆
MATHComplex mathematical problem solving
54.6%vs40.0%+14.6% Mercury 2
Mercury 2 🏆
GLM 4.7 Flash
GPQAGraduate-level expert reasoning
40.0%vs31.0%+9.0% Mercury 2
Mercury 2 🏆
GLM 4.7 Flash
HellaSwagCommonsense reasoning and inference
82.2%vs80.0%+2.2% Mercury 2
Mercury 2 🏆
GLM 4.7 Flash
MT-BenchMulti-turn conversation flow quality
8.5%vs8.1%+0.4% Mercury 2
Mercury 2 🏆
GLM 4.7 Flash

Mercury 2 Quirks & Gotchas

No developer gotchas reported.

GLM 4.7 Flash Quirks & Gotchas

No developer gotchas reported.

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