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DeepSeek-V4-Flash-Vision-Exp vs IBM Granite 4.2 3B

DeepSeek-V4-Flash-Vision-Exp leads the LLM Stats Score 47.7 to 15.6.

DeepSeek · IBM · Updated for 2026

Which is better?

DeepSeek-V4-Flash-Vision-Exp leads the overall LLM Stats Score 47.7 to 15.6, ranking #19 overall.

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

Choose DeepSeek-V4-Flash-Vision-Exp

  • overall performance matters — it scores 47.7 and ranks #19 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes

Choose IBM Granite 4.2 3B

  • you want the most recent training data — it shipped Aug 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

DeepSeek-V4-Flash-Vision-Exp
DeepSeek
IBM Granite 4.2 3B
IBM
Core performance indexes
LLM Stats Score
47.7
#19
15.6
#213
Reasoning
44.3
#31
12.0
#234
Coding
36.6
#19
-6.7
#247
Agents
33.8
#18
2.0
#152
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.22 / M
— / M
Output price
$0.66 / M
— / M
Context window
1,048,576
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V4-Flash-Vision-Exp
IBM Granite 4.2 3B
Tool use
27.6#20
5.3#144
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

7 reported for DeepSeek-V4-Flash-Vision-Exp · 13 for IBM Granite 4.2 3B

No common benchmarks found

DeepSeek-V4-Flash-Vision-Exp and IBM Granite 4.2 3Bdon'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

Context Window

Maximum input and output token capacity

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

DeepSeek
DeepSeek-V4-Flash-Vision-Exp
Input1,048,576 tokens
Output393,216 tokens
IBM
IBM Granite 4.2 3B
Input- tokens
Output- tokens
Mon Aug 31 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

DeepSeek-V4-Flash-Vision-Exp supports multimodal inputs, whereas IBM Granite 4.2 3B does not.

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

DeepSeek-V4-Flash-Vision-Exp

Text
Images
Audio
Video

IBM Granite 4.2 3B

Text
Images
Audio
Video

Release Timeline

When each model was launched

DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21, while IBM Granite 4.2 3B was released on 2026-08-25.

IBM Granite 4.2 3B is 0 month newer than DeepSeek-V4-Flash-Vision-Exp.

DeepSeek-V4-Flash-Vision-Exp

Aug 21, 2026

1 weeks ago

IBM Granite 4.2 3B

Aug 25, 2026

5 days ago

4d 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against DeepSeek-V4-Flash-Vision-Exp and IBM Granite 4.2 3B side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-Vision-Exp
✓ Preferred
IBM Granite 4.2 3B
Open in Playground

FAQ

Common questions about DeepSeek-V4-Flash-Vision-Exp vs IBM Granite 4.2 3B.

Which is better, DeepSeek-V4-Flash-Vision-Exp or IBM Granite 4.2 3B?

DeepSeek-V4-Flash-Vision-Exp leads the LLM Stats Score 47.7 to 15.6. DeepSeek-V4-Flash-Vision-Exp is made by DeepSeek and IBM Granite 4.2 3B 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-Flash-Vision-Exp compare to IBM Granite 4.2 3B in benchmarks?

DeepSeek-V4-Flash-Vision-Exp scores Terminal-Bench 2.1: 83.9%, DSBench-Hard: 63.6%, DeepSWE: 59.3%, NL2Repo: 57.7%, ZEROBench: 35.0%. IBM Granite 4.2 3B scores AIME 2025: 78.3%, IFBench: 74.3%, LiveCodeBench v6: 69.7%, MMLU-Pro: 67.8%, RULER 64k: 67.5%.

What are the context window sizes for DeepSeek-V4-Flash-Vision-Exp and IBM Granite 4.2 3B?

DeepSeek-V4-Flash-Vision-Exp supports 1.0M tokens and IBM Granite 4.2 3B 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-Flash-Vision-Exp and IBM Granite 4.2 3B?

Key differences include LLM Stats Score (47.7 vs 15.6), multimodal support (yes vs no), licensing (Unknown vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Flash-Vision-Exp and IBM Granite 4.2 3B?

DeepSeek-V4-Flash-Vision-Exp is developed by DeepSeek and IBM Granite 4.2 3B is developed by IBM.

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