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GPT-5.6 Sol Pro vs GLM 4.7 Flash

Detailed technical comparison between GPT-5.6 Sol Pro (OpenAI) 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.

โšก Executive Summary & Verdict

Comparison Snapshot

GPT-5.6 Sol Pro: 6 WinsvsGLM 4.7 Flash: 0 Wins
Context Leader

GPT-5.6 Sol Pro

1,050,000 tokens
Agentic Tool-Calling

Tie

Equal Capability
Lowest Latency (TTFT)

Tie

Equal Speed
Input Price Leader

GLM 4.7 Flash

$0.06 / MTok
OpenAIactive

GPT-5.6 Sol Pro

GPT-5.6 Sol Pro is the same underlying model as [GPT-5.6 Sol](https://openrouter.ai/openai/gpt-5.6-sol), served with `reasoning.mode` set to `pro` for higher-quality responses on complex tasks. Learn more in OpenAI's docs: https://developers.openai.com/api/docs/guides/reasoning#reasoning-mode

View GPT-5.6 Sol Pro Full Specs โ†’
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 โ†’

Technical Specifications

๐Ÿ† = Superior Spec
SpecificationGPT-5.6 Sol ProGLM 4.7 Flash
ProviderOpenAIZhipu AI
Context Window1,050,000 tokens๐Ÿ†202,752 tokens
Agent SuitabilityNot yet benchmarkedNot yet benchmarked
Time to First Token (TTFT)No public TTFT dataNo public TTFT data
Deployment Modelmanaged apimanaged api
Production StabilityBeta Access (est.)Stable GA (est.)
API AvailableYesYes
Released Date2026-07-092026-01-19

API Pricing Comparison

Input Price per Million Tokens

GPT-5.6 Sol Pro

$5.00

GLM 4.7 Flash

$0.06

Output Price per Million Tokens

GPT-5.6 Sol Pro

$30.00

GLM 4.7 Flash

$0.40

๐Ÿ’ก Cost Ratio: GLM 4.7 Flash is 83.3x cheaper per input token than GPT-5.6 Sol Pro.

Want to test both models live?

Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Standardized Scores (0โ€“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
93.4%vs77.2%+16.2% GPT-5.6 Sol Pro
GPT-5.6 Sol Pro ๐Ÿ†
GLM 4.7 Flash
HumanEvalPython coding & logic synthesis
94.6%vs78.5%+16.1% GPT-5.6 Sol Pro
GPT-5.6 Sol Pro ๐Ÿ†
GLM 4.7 Flash
MATHComplex mathematical problem solving
78.4%vs40.0%+38.4% GPT-5.6 Sol Pro
GPT-5.6 Sol Pro ๐Ÿ†
GLM 4.7 Flash
GPQAGraduate-level expert reasoning
56.8%vs31.0%+25.8% GPT-5.6 Sol Pro
GPT-5.6 Sol Pro ๐Ÿ†
GLM 4.7 Flash
HellaSwagCommonsense reasoning and inference
89.0%vs80.0%+9.0% GPT-5.6 Sol Pro
GPT-5.6 Sol Pro ๐Ÿ†
GLM 4.7 Flash
MT-BenchMulti-turn conversation flow quality
9.2%vs8.1%+1.1% GPT-5.6 Sol Pro
GPT-5.6 Sol Pro ๐Ÿ†
GLM 4.7 Flash

GPT-5.6 Sol Pro Quirks & Gotchas

No developer gotchas reported.

GLM 4.7 Flash Quirks & Gotchas

No developer gotchas reported.

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