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DeepSeek-V4.1-Flash vs GLM-5V-Turbo

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to 30.3. DeepSeek-V4.1-Flash is 5.8x cheaper per token.

DeepSeek · Zhipu AI · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash leads the overall LLM Stats Score 51.8 to 30.3, ranking #13 overall.

On price, DeepSeek-V4.1-Flash is roughly 5.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V4.1-Flash also accepts a larger context window (1,040,000 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-V4.1-Flash

  • overall performance matters — it scores 51.8 and ranks #13 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • cost matters — it's about 5.8x cheaper per token
  • you process long inputs — it offers a 1,040,000 token context window
  • you want the most recent training data — it shipped Sep 2026
  • you need open weights you can self-host or fine-tune

Choose GLM-5V-Turbo

  • you want predictable pricing at $1.20/M input and $4.00/M output

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash
DeepSeek
GLM-5V-Turbo
Zhipu AI
Core performance indexes
LLM Stats Score
51.8
#13
30.3
#119
Reasoning
48.9
#18
8.0
#278
Coding
44.2
#5
24.1
#73
Agents
41.1
#4
19.3
#65
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.22 / M
$1.20 / M
Output price
$0.66 / M
$4.00 / M
Context window
1,040,000
200,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
DeepSeek-V4.1-Flash
GLM-5V-Turbo
Vision
29.5#31
20.7#66
Multimodal
34.3#13
21.7#63
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

20 reported for DeepSeek-V4.1-Flash · 19 for GLM-5V-Turbo

No common benchmarks found

DeepSeek-V4.1-Flash and GLM-5V-Turbodon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

DeepSeek-V4.1-Flash costs less

For input processing, DeepSeek-V4.1-Flash ($0.22/1M tokens) is 5.5x cheaper than GLM-5V-Turbo ($1.20/1M tokens).

For output processing, DeepSeek-V4.1-Flash ($0.66/1M tokens) is 6.1x cheaper than GLM-5V-Turbo ($4.00/1M tokens).

In conclusion, GLM-5V-Turbo is more expensive than DeepSeek-V4.1-Flash.*

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

Lowest available price from all providers
Sun Sep 20 2026 • llm-stats.com
DeepSeek
DeepSeek-V4.1-Flash
Input tokens$0.22
Output tokens$0.66
Best providerFireworks
Zhipu AI
GLM-5V-Turbo
Input tokens$1.20
Output tokens$4.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

DeepSeek-V4.1-Flash accepts 1,040,000 input tokens compared to GLM-5V-Turbo's 200,000 tokens. DeepSeek-V4.1-Flash can generate longer responses up to 393,216 tokens, while GLM-5V-Turbo is limited to 128,000 tokens.

DeepSeek
DeepSeek-V4.1-Flash
Input1,040,000 tokens
Output393,216 tokens
Zhipu AI
GLM-5V-Turbo
Input200,000 tokens
Output128,000 tokens
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4.1-Flash and GLM-5V-Turbo support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek-V4.1-Flash

Text
Images
Audio
Video

GLM-5V-Turbo

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash is licensed under MIT, while GLM-5V-Turbo uses a proprietary license.

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

DeepSeek-V4.1-Flash

MIT

Open weights

GLM-5V-Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash was released on 2026-09-10, while GLM-5V-Turbo was released on 2026-04-02.

DeepSeek-V4.1-Flash is 5 months newer than GLM-5V-Turbo.

DeepSeek-V4.1-Flash

Sep 10, 2026

1 weeks ago

5mo newer
GLM-5V-Turbo

Apr 2, 2026

5 months ago

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-V4.1-Flash is available from Fireworks, DeepInfra, DeepSeek, Novita. GLM-5V-Turbo is available from ZAI.

DeepSeek-V4.1-Flash

fireworks logo
Fireworks
Input Price:Input: $0.22/1MOutput Price:Output: $0.66/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
deepseek logo
DeepSeek
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $1.20/1M

GLM-5V-Turbo

z logo
Unknown Organization
Input Price:Input: $1.20/1MOutput Price:Output: $4.00/1M
* 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-V4.1-Flash and GLM-5V-Turbo side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash
✓ Preferred
GLM-5V-Turbo
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash vs GLM-5V-Turbo.

Which is better, DeepSeek-V4.1-Flash or GLM-5V-Turbo?

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to 30.3. DeepSeek-V4.1-Flash is made by DeepSeek and GLM-5V-Turbo 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-V4.1-Flash compare to GLM-5V-Turbo in benchmarks?

DeepSeek-V4.1-Flash scores CodeForces: 100.0%, GPQA: 90.9%, Terminal-Bench 2.1: 90.6%, BabyVision: 89.6%, CyberGym: 88.1%. GLM-5V-Turbo scores Design2Code: 94.8%, Flame-VLM-Code: 93.8%, V*: 89.0%, WebVoyager: 88.5%, PinchBench: 80.7%.

Is DeepSeek-V4.1-Flash cheaper than GLM-5V-Turbo?

DeepSeek-V4.1-Flash is 5.5x cheaper for input tokens. DeepSeek-V4.1-Flash costs $0.22/M input and $0.66/M output via fireworks. GLM-5V-Turbo costs $1.20/M input and $4.00/M output via z.

What are the context window sizes for DeepSeek-V4.1-Flash and GLM-5V-Turbo?

DeepSeek-V4.1-Flash supports 1.0M tokens and GLM-5V-Turbo supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V4.1-Flash and GLM-5V-Turbo?

Key differences include LLM Stats Score (51.8 vs 30.3), context window (1.0M vs 200K), input pricing ($0.22 vs $1.20/M), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash and GLM-5V-Turbo?

DeepSeek-V4.1-Flash is developed by DeepSeek and GLM-5V-Turbo is developed by Zhipu AI.

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