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GLM 4.7 Flash vs R1 Distill Llama 70B

How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for GLM 4.7 Flash and R1 Distill Llama 70B.

Zhipu AI

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,...

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DeepSeek

R1 Distill Llama 70B

DeepSeek R1 Distill Llama 70B is a distilled large language model based on [Llama-3.3-70B-Instruct](/meta-llama/llama-3.3-70b-instruct), using outputs from [DeepSeek R1](/deepseek/deepseek-r1). The model combines advanced distillation techniques to achieve high performance across...

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Technical Specifications

SpecificationGLM 4.7 FlashR1 Distill Llama 70B
ProviderZhipu AIDeepSeek
Context Window202,752 tokens128,000 tokens
Agent SuitabilityN/AN/A
Time to First Token (TTFT)N/AN/A
Deployment Modelmanaged apiself hostable
Production Stabilitystablestable
API AvailableYesYes
Released Date2026-01-192025-01-23

API Pricing Comparison

Input Price per Million Tokens

GLM 4.7 Flash

$0.06

R1 Distill Llama 70B

$0.80

Output Price per Million Tokens

GLM 4.7 Flash

$0.40

R1 Distill Llama 70B

$0.80

Want to test both models live?

Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.

Benchmark Performance Metrics

Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.

MMLUGeneral knowledge & multi-task understanding
7720.0%vs8520.0%
GLM 4.7 Flash
R1 Distill Llama 70B
HumanEvalPython coding & logic synthesis
7850.0%vs8830.0%
GLM 4.7 Flash
R1 Distill Llama 70B
MATHComplex mathematical problem solving
4000.0%vs7000.0%
GLM 4.7 Flash
R1 Distill Llama 70B
GPQAGraduate-level expert reasoning
3100.0%vs4450.0%
GLM 4.7 Flash
R1 Distill Llama 70B
HellaSwagCommonsense reasoning and inference
8000.0%vs8600.0%
GLM 4.7 Flash
R1 Distill Llama 70B
MT-BenchMulti-turn conversation flow quality
810.0%vs905.0%
GLM 4.7 Flash
R1 Distill Llama 70B

GLM 4.7 Flash Quirks & Gotchas

No developer gotchas reported.

R1 Distill Llama 70B Quirks & Gotchas

No developer gotchas reported.