DeepSeek-V3 0324 vs GLM-4.7-Flash

GLM-4.7-Flash leads the LLM Stats Score 23.5 to 13.4. GLM-4.7-Flash is 2.7x cheaper per token.

DeepSeek · Zhipu AI · Updated for 2026

Which is better?

GLM-4.7-Flash leads the overall LLM Stats Score 23.5 to 13.4, ranking #178 overall.

In the 1 individual benchmarks reported for both models, GLM-4.7-Flash wins 1; this is a narrower head-to-head signal than the composite indexes.

On price, GLM-4.7-Flash is roughly 2.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V3 0324 also accepts a larger context window (163,840 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek-V3 0324

you process long inputs — it offers a 163,840 token context window

Choose GLM-4.7-Flash

overall performance matters — it scores 23.5 and ranks #178 on LLM Stats
your work emphasizes reasoning — it leads those capability indexes
you value its reported benchmark strengths — it wins 1 of 1 exact shared results
cost matters — it's about 2.7x cheaper per token
you want the most recent training data — it shipped Jan 2026

At a glance

The differences that matter most.

Better token value: GLM-4.7-Flash

Core performance indexes

LLM Stats Score

13.4

#248 · 5 evals

23.5

#178 · 6 evals

Best

Reasoning

13.6

#238 · 5 evals

23.5

#167 · 6 evals

Best

Coding

4.0

#216 · 1 evals

4.2

#213 · 1 evals

Best

Cost, coverage & limits

Benchmark wins

0 of 1

1 of 1

Best

Input price

$0.24 / M

$0.07 / M

Best

Output price

$0.90 / M

$0.40 / M

Best

Context window

163,840

Best

128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared

Index

DeepSeek-V3 0324

GLM-4.7-Flash

Math

15.8#211 · 3 evals

21.0#152 · 2 evals

Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for DeepSeek-V3 0324 · 6 for GLM-4.7-Flash

1 shared

DeepSeek-V3 0324 outperforms in 0 benchmarks, while GLM-4.7-Flash is better at 1 benchmark (GPQA).

GLM-4.7-Flash significantly outperforms across most benchmarks.

Tue Sep 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

GLM-4.7-Flash costs less

For input processing, DeepSeek-V3 0324 ($0.24/1M tokens) is 3.4x more expensive than GLM-4.7-Flash ($0.07/1M tokens).

For output processing, DeepSeek-V3 0324 ($0.90/1M tokens) is 2.3x more expensive than GLM-4.7-Flash ($0.40/1M tokens).

In conclusion, DeepSeek-V3 0324 is more expensive than GLM-4.7-Flash.*

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

Lowest available price from all providers

Tue Sep 22 2026 • llm-stats.com

DeepSeek-V3 0324

Input tokens$0.24

Output tokens$0.90

Best providerDeepinfra

GLM-4.7-Flash

Input tokens$0.07

Output tokens$0.40

Best providerUnknown Organization

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

641.0B diff

DeepSeek-V3 0324 has 641.0B more parameters than GLM-4.7-Flash, making it 2136.7% larger.

DeepSeek-V3 0324

671.0Bparameters

GLM-4.7-Flash

30.0Bparameters

671.0B

DeepSeek-V3 0324

30.0B

GLM-4.7-Flash

Context Window

Maximum input and output token capacity

DeepSeek-V3 0324 accepts 163,840 input tokens compared to GLM-4.7-Flash's 128,000 tokens. DeepSeek-V3 0324 can generate longer responses up to 163,840 tokens, while GLM-4.7-Flash is limited to 16,384 tokens.

DeepSeek-V3 0324

Input163,840 tokens

Output163,840 tokens

GLM-4.7-Flash

Input128,000 tokens

Output16,384 tokens

Tue Sep 22 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3 0324 is licensed under MIT + Model License (Commercial use allowed), while GLM-4.7-Flash uses MIT.

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

DeepSeek-V3 0324

MIT + Model License (Commercial use allowed)

Open weights

GLM-4.7-Flash

MIT

Open weights

Release Timeline

When each model was launched

DeepSeek-V3 0324 was released on 2025-03-25, while GLM-4.7-Flash was released on 2026-01-19.

GLM-4.7-Flash is 10 months newer than DeepSeek-V3 0324.

DeepSeek-V3 0324

Mar 25, 2025

1.5 years ago

GLM-4.7-Flash

Jan 19, 2026

8 months ago

10mo 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

DeepSeek-V3 0324 is available from DeepInfra, Novita. GLM-4.7-Flash is available from ZAI.

DeepSeek-V3 0324

Deepinfra

Input Price:Input: $0.24/1MOutput Price:Output: $0.90/1M

Novita

Input Price:Input: $0.28/1MOutput Price:Output: $1.14/1M

GLM-4.7-Flash

Unknown Organization

Input Price:Input: $0.07/1MOutput Price:Output: $0.40/1M

* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V3 0324 and GLM-4.7-Flash side-by-side, then vote on the output you prefer.

DeepSeek-V3 0324

✓ Preferred

GLM-4.7-Flash

Open in Playground

FAQ

Common questions about DeepSeek-V3 0324 vs GLM-4.7-Flash.

Which is better, DeepSeek-V3 0324 or GLM-4.7-Flash?

GLM-4.7-Flash leads the LLM Stats Score 23.5 to 13.4. DeepSeek-V3 0324 is made by DeepSeek and GLM-4.7-Flash is made by Zhipu AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V3 0324 compare to GLM-4.7-Flash in benchmarks?

DeepSeek-V3 0324 scores MATH-500: 94.0%, MMLU-Pro: 81.2%, GPQA: 68.4%, AIME 2024: 59.4%, LiveCodeBench: 49.2%. GLM-4.7-Flash scores AIME 2025: 91.6%, Tau-bench: 79.5%, GPQA: 75.2%, SWE-Bench Verified: 59.2%, BrowseComp: 42.8%.

Is DeepSeek-V3 0324 cheaper than GLM-4.7-Flash?

GLM-4.7-Flash is 3.4x cheaper for input tokens. DeepSeek-V3 0324 costs $0.24/M input and $0.90/M output via deepinfra. GLM-4.7-Flash costs $0.07/M input and $0.40/M output via z.

What are the context window sizes for DeepSeek-V3 0324 and GLM-4.7-Flash?

DeepSeek-V3 0324 supports 164K tokens and GLM-4.7-Flash supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V3 0324 and GLM-4.7-Flash?

Key differences include LLM Stats Score (13.4 vs 23.5), context window (164K vs 128K), input pricing ($0.24 vs $0.07/M), licensing (MIT + Model License (Commercial use allowed) vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3 0324 and GLM-4.7-Flash?

DeepSeek-V3 0324 is developed by DeepSeek and GLM-4.7-Flash is developed by Zhipu AI.

DeepSeek-V3 0324 vs GLM-4.7-Flash