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DeepSeek-V4.1-Flash-1017 vs IBM Granite 4.0 Tiny Preview

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to -5.8.

DeepSeek · IBM · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash-1017 leads the overall LLM Stats Score 51.0 to -5.8, ranking #15 overall.

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

Choose DeepSeek-V4.1-Flash-1017

  • overall performance matters — it scores 51.0 and ranks #15 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Oct 2026

Choose IBM Granite 4.0 Tiny Preview

  • you are already invested in the IBM ecosystem

At a glance

The differences that matter most.

DeepSeek-V4.1-Flash-1017
DeepSeek
IBM Granite 4.0 Tiny Preview
IBM
Core performance indexes
LLM Stats Score
51.0
#15
-5.8
#382
Reasoning
48.6
#18
-5.8
#372
Coding
39.1
#15
2.9
#243
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.30 / M
— / M
Output price
$1.20 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V4.1-Flash-1017
IBM Granite 4.0 Tiny Preview
Math
31.8#67
-5.8#330
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

11 reported for DeepSeek-V4.1-Flash-1017 · 12 for IBM Granite 4.0 Tiny Preview

No common benchmarks found

DeepSeek-V4.1-Flash-1017 and IBM Granite 4.0 Tiny Previewdon'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

Model Size

Parameter count comparison

756.2B diff

DeepSeek-V4.1-Flash-1017 has 756.2B more parameters than IBM Granite 4.0 Tiny Preview, making it 10802.9% larger.

DeepSeek
DeepSeek-V4.1-Flash-1017
763.2Bparameters
IBM
IBM Granite 4.0 Tiny Preview
7.0Bparameters
763.2B
DeepSeek-V4.1-Flash-1017
7.0B
IBM Granite 4.0 Tiny Preview

Context Window

Maximum input and output token capacity

Only DeepSeek-V4.1-Flash-1017 specifies input context (1,048,576 tokens). Only DeepSeek-V4.1-Flash-1017 specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4.1-Flash-1017
Input1,048,576 tokens
Output393,216 tokens
IBM
IBM Granite 4.0 Tiny Preview
Input- tokens
Output- tokens
Tue Oct 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek-V4.1-Flash-1017 supports multimodal inputs, whereas IBM Granite 4.0 Tiny Preview does not.

DeepSeek-V4.1-Flash-1017 can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4.1-Flash-1017

Text
Images
Audio
Video

IBM Granite 4.0 Tiny Preview

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash-1017 is licensed under MIT, while IBM Granite 4.0 Tiny Preview uses Apache 2.0.

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

DeepSeek-V4.1-Flash-1017

MIT

Open weights

IBM Granite 4.0 Tiny Preview

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V4.1-Flash-1017 was released on 2026-10-17, while IBM Granite 4.0 Tiny Preview was released on 2025-05-02.

DeepSeek-V4.1-Flash-1017 is 18 months newer than IBM Granite 4.0 Tiny Preview.

DeepSeek-V4.1-Flash-1017

Oct 17, 2026

2 days ago

1.5yr newer
IBM Granite 4.0 Tiny Preview

May 2, 2025

1.5 years 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

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against DeepSeek-V4.1-Flash-1017 and IBM Granite 4.0 Tiny Preview side-by-side, then vote on the output you prefer.

DeepSeek-V4.1-Flash-1017
✓ Preferred
IBM Granite 4.0 Tiny Preview
Open in Playground

FAQ

Common questions about DeepSeek-V4.1-Flash-1017 vs IBM Granite 4.0 Tiny Preview.

Which is better, DeepSeek-V4.1-Flash-1017 or IBM Granite 4.0 Tiny Preview?

DeepSeek-V4.1-Flash-1017 leads the LLM Stats Score 51.0 to -5.8. DeepSeek-V4.1-Flash-1017 is made by DeepSeek and IBM Granite 4.0 Tiny Preview is made by IBM. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V4.1-Flash-1017 compare to IBM Granite 4.0 Tiny Preview in benchmarks?

DeepSeek-V4.1-Flash-1017 scores BabyVision: 92.5%, Chartography: 83.0%, DeepSWE 1.1: 77.0%, NL2Repo: 68.2%, AutomationBench: 60.5%. IBM Granite 4.0 Tiny Preview scores AttaQ: 86.1%, HumanEval: 82.4%, HumanEval+: 78.3%, GSM8k: 70.1%, IFEval: 63.0%.

What are the context window sizes for DeepSeek-V4.1-Flash-1017 and IBM Granite 4.0 Tiny Preview?

DeepSeek-V4.1-Flash-1017 supports 1.0M tokens and IBM Granite 4.0 Tiny Preview supports an unknown number of 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-1017 and IBM Granite 4.0 Tiny Preview?

Key differences include LLM Stats Score (51.0 vs -5.8), multimodal support (yes vs no), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4.1-Flash-1017 and IBM Granite 4.0 Tiny Preview?

DeepSeek-V4.1-Flash-1017 is developed by DeepSeek and IBM Granite 4.0 Tiny Preview is developed by IBM.

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