Model comparison

DeepSeek-V3.1-Terminus vs Granite 4.0 Micro

DeepSeek-V3.1-Terminus is the stronger model overall, scoring 42.6 to 28.8 on the Noometry Index. Granite 4.0 Micro costs 12× less per token, which makes it the better buy when DeepSeek-V3.1-Terminus's lead doesn't matter for your workload.

Last verified October 10, 2026. 0 shared benchmarks.

DeepSeek-V3.1-Terminus

DeepSeek

42.6

Rank #96 Confirmed

Granite 4.0 Micro IBM

28.8

Rank #312 Confirmed

Summary

The widest gap is in math, where DeepSeek-V3.1-Terminus leads 35.7 to 11.2.
Granite 4.0 Micro is cheaper at $0.017 / $0.11 per million input/output tokens, against $0.30 / $1 for DeepSeek-V3.1-Terminus.
DeepSeek-V3.1-Terminus accepts more context: 164K tokens versus 131K.

Side by side

DeepSeek-V3.1-Terminus and Granite 4.0 Micro specifications
	DeepSeek-V3.1-Terminus	Granite 4.0 Micro
Provider	DeepSeek	IBM
Noometry Index	42.6	28.8
Released	2025-09-22	2025-10-02
Weights	Open	Open
Context window	164K	131K
Max output	66K	118K
Input $ / M tokens	$0.30	$0.017
Output $ / M tokens	$1	$0.11
Results tracked	16	8

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Category by category

Coding Not comparable

DeepSeek-V3.1-Terminus: 41.5 (#114), Granite 4.0 Micro: —

Coding benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Granite 4.0 Micro
SciCode	40.6%	—
LMArena Coding	1426	—
ALE-Bench	745.17	—

Reasoning DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 25.7 (#126), Granite 4.0 Micro: 18.5 (#261)

Reasoning benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Granite 4.0 Micro
Kagi LLM Benchmark	57.4%	—
CritPt	1.7%	—
Chess Puzzles	—	0%
LMArena Hard Prompts	1427	—
DTBench	81.3%	—
LMCA	28.6%	—

Math DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 35.7 (#138), Granite 4.0 Micro: 11.2 (#301)

Math benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Granite 4.0 Micro
OTIS Mock AIME 2024-2025	—	2.8%
Omni-MATH	—	20.9%
LMArena Math	1402	—

Knowledge Not comparable

DeepSeek-V3.1-Terminus: —, Granite 4.0 Micro: 9.9 (#299)

Knowledge benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Granite 4.0 Micro
GPQA Diamond	—	28.3%
MMLU-Pro	—	39.5%
GPQA (HELM)	—	30.7%

Multilingual Not comparable

DeepSeek-V3.1-Terminus: 52.3 (#87), Granite 4.0 Micro: —

Multilingual benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Granite 4.0 Micro
LMArena Non-English	1407	—
LMArena Russian	1434	—

Instruction Following DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 74.4 (#96), Granite 4.0 Micro: 70.0 (#164)

Instruction Following benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Granite 4.0 Micro
IFEval	—	84.9%
LMArena Instruction Following	1406	—

Long Context Not comparable

DeepSeek-V3.1-Terminus: 43.5 (#88), Granite 4.0 Micro: —

Long Context benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Granite 4.0 Micro
LMArena Longer Query	1426	—

Writing & Preference DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 61.3 (#87), Granite 4.0 Micro: 46.7 (#212)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Granite 4.0 Micro
LMArena Text	1420	—
LMArena Creative Writing	1404	—
WildBench	—	67%
LMArena Multi-Turn	1411	—

Frequently asked questions

Is DeepSeek-V3.1-Terminus better than Granite 4.0 Micro?

Which is cheaper, DeepSeek-V3.1-Terminus or Granite 4.0 Micro?

Granite 4.0 Micro is cheaper. It lists at $0.017 per million input tokens and $0.11 per million output tokens; DeepSeek-V3.1-Terminus lists at $0.30 and $1.

Which has the bigger context window?

DeepSeek-V3.1-Terminus does, with 164K tokens against 131K.

How many benchmarks do DeepSeek-V3.1-Terminus and Granite 4.0 Micro share?

0 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Granite 4.0 Micro has 8.