The AI arena is free today

Open Superagent

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

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to -5.5.

DeepSeek · IBM · Updated for 2026

Which is better?

DeepSeek-V4.1-Flash leads the overall LLM Stats Score 51.8 to -5.5, ranking #12 overall.

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 #12 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you want the most recent training data — it shipped Sep 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
DeepSeek
IBM Granite 4.0 Tiny Preview
IBM
Core performance indexes
LLM Stats Score
51.8
#12
-5.5
#357
Reasoning
48.9
#17
-5.5
#347
Coding
44.4
#5
3.0
#219
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.22 / M
— / M
Output price
$0.66 / M
— / M
Context window
1,040,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V4.1-Flash
IBM Granite 4.0 Tiny Preview
Math
35.2#43
-5.8#318
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

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

No common benchmarks found

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

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

Context Window

Maximum input and output token capacity

Only DeepSeek-V4.1-Flash specifies input context (1,040,000 tokens). Only DeepSeek-V4.1-Flash specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4.1-Flash
Input1,040,000 tokens
Output393,216 tokens
IBM
IBM Granite 4.0 Tiny Preview
Input- tokens
Output- tokens
Tue Sep 15 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

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

DeepSeek-V4.1-Flash

Text
Images
Audio
Video

IBM Granite 4.0 Tiny Preview

Text
Images
Audio
Video

License

Usage and distribution terms

DeepSeek-V4.1-Flash 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

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 was released on 2026-09-10, while IBM Granite 4.0 Tiny Preview was released on 2025-05-02.

DeepSeek-V4.1-Flash is 17 months newer than IBM Granite 4.0 Tiny Preview.

DeepSeek-V4.1-Flash

Sep 10, 2026

4 days ago

1.4yr newer
IBM Granite 4.0 Tiny Preview

May 2, 2025

1.4 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?Start an Issue discussion→

Judge for yourself.

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

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

FAQ

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

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

DeepSeek-V4.1-Flash leads the LLM Stats Score 51.8 to -5.5. DeepSeek-V4.1-Flash 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 compare to IBM Granite 4.0 Tiny Preview 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%. 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 and IBM Granite 4.0 Tiny Preview?

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

Key differences include LLM Stats Score (51.8 vs -5.5), 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 and IBM Granite 4.0 Tiny Preview?

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

Related comparisons