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DeepSeek-V4-Flash-Max vs GLM-5.3

GLM-5.3 significantly outperforms across most benchmarks. DeepSeek-V4-Flash-Max is 12.3x cheaper per token.

DeepSeek · Zhipu AI · Updated for 2026

Which is better?

DeepSeek-V4-Flash-Max outperforms in 0 benchmarks, while GLM-5.3 is better at 2 benchmarks (Humanity's Last Exam, Toolathlon). GLM-5.3 significantly outperforms across most benchmarks.

On price, DeepSeek-V4-Flash-Max is roughly 12.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4-Flash-Max also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Based on current benchmark, pricing, and model metadata for 2026.

Choose DeepSeek-V4-Flash-Max

  • cost matters — it's about 12.3x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you need open weights you can self-host or fine-tune

Choose GLM-5.3

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

DeepSeek-V4-Flash-Max
DeepSeek
GLM-5.3
Zhipu AI
Benchmark wins
0 of 2
2 of 2
Input price
$0.14 / M
$1.40 / M
Output price
$0.28 / M
$4.40 / M
Context window
1,048,576
1,000,000
Released
Apr 2026
Aug 2026
License
MIT
Unknown

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek-V4-Flash-Max outperforms in 0 benchmarks, while GLM-5.3 is better at 2 benchmarks (Humanity's Last Exam, Toolathlon).

GLM-5.3 significantly outperforms across most benchmarks.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek-V4-Flash-Max costs less

For input processing, DeepSeek-V4-Flash-Max ($0.14/1M tokens) is 10.0x cheaper than GLM-5.3 ($1.40/1M tokens).

For output processing, DeepSeek-V4-Flash-Max ($0.28/1M tokens) is 15.7x cheaper than GLM-5.3 ($4.40/1M tokens).

In conclusion, GLM-5.3 is more expensive than DeepSeek-V4-Flash-Max.*

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

Lowest available price from all providers
Tue Aug 25 2026 • llm-stats.com
DeepSeek
DeepSeek-V4-Flash-Max
Input tokens$0.14
Output tokens$0.28
Best providerDeepSeek
Zhipu AI
GLM-5.3
Input tokens$1.40
Output tokens$4.40
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

469.0B diff

GLM-5.3 has 469.0B more parameters than DeepSeek-V4-Flash-Max, making it 165.1% larger.

DeepSeek
DeepSeek-V4-Flash-Max
284.0Bparameters
Zhipu AI
GLM-5.3
753.0Bparameters
284.0B
DeepSeek-V4-Flash-Max
753.0B
GLM-5.3

Context Window

Maximum input and output token capacity

DeepSeek-V4-Flash-Max accepts 1,048,576 input tokens compared to GLM-5.3's 1,000,000 tokens. DeepSeek-V4-Flash-Max can generate longer responses up to 393,216 tokens, while GLM-5.3 is limited to 128,000 tokens.

DeepSeek
DeepSeek-V4-Flash-Max
Input1,048,576 tokens
Output393,216 tokens
Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
Tue Aug 25 2026 • llm-stats.com

Release Timeline

When each model was launched

DeepSeek-V4-Flash-Max was released on 2026-04-23, while GLM-5.3 was released on 2026-08-14.

GLM-5.3 is 4 months newer than DeepSeek-V4-Flash-Max.

DeepSeek-V4-Flash-Max

Apr 23, 2026

4 months ago

GLM-5.3

Aug 14, 2026

1 weeks ago

3mo 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-V4-Flash-Max is available from DeepSeek. GLM-5.3 is available from ZAI.

DeepSeek-V4-Flash-Max

deepseek logo
DeepSeek
Input Price:Input: $0.14/1MOutput Price:Output: $0.28/1M

GLM-5.3

z logo
Unknown Organization
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
* 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-V4-Flash-Max and GLM-5.3 side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-Max
✓ Preferred
GLM-5.3
Open in Playground

FAQ

Common questions about DeepSeek-V4-Flash-Max vs GLM-5.3.

Which is better, DeepSeek-V4-Flash-Max or GLM-5.3?

GLM-5.3 significantly outperforms across most benchmarks. DeepSeek-V4-Flash-Max is made by DeepSeek and GLM-5.3 is made by Zhipu AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V4-Flash-Max compare to GLM-5.3 in benchmarks?

DeepSeek-V4-Flash-Max scores CodeForces: 100.0%, HMMT Feb 26: 94.8%, LiveCodeBench: 91.6%, IMO-AnswerBench: 88.4%, GPQA: 88.1%. GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%.

Is DeepSeek-V4-Flash-Max cheaper than GLM-5.3?

DeepSeek-V4-Flash-Max is 10.0x cheaper for input tokens. DeepSeek-V4-Flash-Max costs $0.14/M input and $0.28/M output via deepseek. GLM-5.3 costs $1.40/M input and $4.40/M output via z.

What are the context window sizes for DeepSeek-V4-Flash-Max and GLM-5.3?

DeepSeek-V4-Flash-Max supports 1.0M tokens and GLM-5.3 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V4-Flash-Max and GLM-5.3?

Key differences include context window (1.0M vs 1.0M), input pricing ($0.14 vs $1.40/M), licensing (MIT vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Flash-Max and GLM-5.3?

DeepSeek-V4-Flash-Max is developed by DeepSeek and GLM-5.3 is developed by Zhipu AI.

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