Granite 4.0 Micro vs Qwen3.8 2.4T A95B

Qwen3.8 2.4T A95B leads Granite 4.0 Micro on the Artificial Analysis Intelligence Index, 39.9 to 5.1, and Granite 4.0 Micro costs 53.6x less per output token ($0.112 vs $6.00 per million). Updated October 22, 2026; 4 benchmarks have a result for both.

Replace Granite 4.0 Micro Replace Qwen3.8 2.4T A95B

Granite 4.0 MicroIBM Granite

Coding: No data
Overall: No data
Output $/M: $0.112

Qwen3.8 2.4T A95BQwen

Coding: No data
Overall: No data
Output $/M: $6.00

vs boards won of 4 shared

Granite 4.0 Micro or Qwen3.8 2.4T A95B: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Granite 4.0 Micro for output tokens 53.6x cheaper ($0.112 vs $6.00 per million) and work measured by AA Intelligence Index or GPQA Diamond (Artificial Analysis run), where it leads.

Model AGranite 4.0 MicroIBM GraniteNot benchmarkedNo coding benchmarkNo cost per solved task Model BQwen3.8 2.4T A95BQwenNot benchmarkedNo coding benchmarkNo cost per solved task

495

Shared results: 4
Granite 4.0 Micro only: 9
Qwen3.8 2.4T A95B only: 5
Like-for-like categories: 3 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
Qwen3.8 2.4T A95B
Qwen3.8 2.4T A95B leads, 39.9 against 5.1.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Qwen3.8 2.4T A95B has a AA Agentic Index result, 50.1.
Directional only
Long documents
Listed context window
Qwen3.8 2.4T A95B
Qwen3.8 2.4T A95B takes 1.05M tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Granite 4.0 Micro
Granite 4.0 Micro $0.0001, Qwen3.8 2.4T A95B $0.0050 per turn.
List prices

At a glance

Coding index: Granite 4.0 Micro not benchmarked, Qwen3.8 2.4T A95B not benchmarked.
Widest category: General, 73.3 points apart on average over 1 shared benchmark.
Widest single gap: Long context reasoning (AA-LCR): Granite 4.0 Micro 7.0% against Qwen3.8 2.4T A95B 80.3%, 73.3 points apart on a 0 to 100 scale.
Output price: Granite 4.0 Micro $0.112 against Qwen3.8 2.4T A95B $6.00 per million output tokens, 53.6x apart.
Context window: Granite 4.0 Micro takes 131K tokens, Qwen3.8 2.4T A95B 1.05M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
Category	Granite 4.0 Micro	Bars	Qwen3.8 2.4T A95B	Ties
Intelligence	0		1
Reasoning	0		2
General	0		1
All shared boards	0		4

CodingDirectional onlySix of these boards feed the Vibe Coding Index4 boards, none shared

Coding benchmarks for Granite 4.0 Micro and Qwen3.8 2.4T A95B
Benchmark	Granite 4.0 Micro	Qwen3.8 2.4T A95B	Leader
AA Coding Index	Not measured	71.9	Only Qwen3.8 2.4T A95B measured
LiveCodeBench (Artificial Analysis run)	18.0%	Not measured	Only Granite 4.0 Micro measured
SciCode	Not measured	54.1%	Only Qwen3.8 2.4T A95B measured
Terminal-Bench Hard (Artificial Analysis run)	1.5%	Not measured	Only Granite 4.0 Micro measured
Neither model has a result on the other 39 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01

Intelligence benchmarks for Granite 4.0 Micro and Qwen3.8 2.4T A95B
Benchmark	Granite 4.0 Micro	Qwen3.8 2.4T A95B	Leader
AA Intelligence Index	5.1	39.9	Qwen3.8 2.4T A95B
Neither model has a result on the other 1 board here

Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared

Agentic work benchmarks for Granite 4.0 Micro and Qwen3.8 2.4T A95B
Benchmark	Granite 4.0 Micro	Qwen3.8 2.4T A95B	Leader
AA Agentic Index	Not measured	50.1	Only Qwen3.8 2.4T A95B measured
τ²-Bench Telecom	12.6%	Not measured	Only Granite 4.0 Micro measured
MCP Atlas	Not measured	84.5%	Only Qwen3.8 2.4T A95B measured
Neither model has a result on the other 39 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index02

Reasoning benchmarks for Granite 4.0 Micro and Qwen3.8 2.4T A95B
Benchmark	Granite 4.0 Micro	Qwen3.8 2.4T A95B	Leader
GPQA Diamond (Artificial Analysis run)	33.6%	93.5%	Qwen3.8 2.4T A95B
Humanity's Last Exam (Artificial Analysis run)	5.0%	42.4%	Qwen3.8 2.4T A95B
GPQA Diamond (Epoch AI run)	28.3%	Not measured	Only Granite 4.0 Micro measured
Neither model has a result on the other 20 boards here

MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared

Math benchmarks for Granite 4.0 Micro and Qwen3.8 2.4T A95B
Benchmark	Granite 4.0 Micro	Qwen3.8 2.4T A95B	Leader
AA Math Index	6.0	Not measured	Only Granite 4.0 Micro measured
AIME 2025 (Artificial Analysis run)	6.0%	Not measured	Only Granite 4.0 Micro measured
OTIS Mock AIME	2.8%	Not measured	Only Granite 4.0 Micro measured
MathArena	Not measured	31.6%	Only Qwen3.8 2.4T A95B measured
Neither model has a result on the other 10 boards here

KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared

Knowledge benchmarks for Granite 4.0 Micro and Qwen3.8 2.4T A95B
Benchmark	Granite 4.0 Micro	Qwen3.8 2.4T A95B	Leader
MMLU Pro (Artificial Analysis run)	44.7%	Not measured	Only Granite 4.0 Micro measured
Neither model has a result on the other 19 boards here

Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared

Web design benchmarks for Granite 4.0 Micro and Qwen3.8 2.4T A95B
Benchmark	Granite 4.0 Micro	Qwen3.8 2.4T A95B	Leader
Neither model has a result on 9 boards here

GeneralLike-for-likePublic boards, shown as published, kept out of the index01

General benchmarks for Granite 4.0 Micro and Qwen3.8 2.4T A95B
Benchmark	Granite 4.0 Micro	Qwen3.8 2.4T A95B	Leader
IFBench	24.8%	Not measured	Only Granite 4.0 Micro measured
Long context reasoning (AA-LCR)	7.0%	80.3%	Qwen3.8 2.4T A95B
Neither model has a result on the other 46 boards here

Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared

Image generation benchmarks for Granite 4.0 Micro and Qwen3.8 2.4T A95B
Benchmark	Granite 4.0 Micro	Qwen3.8 2.4T A95B	Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Granite 4.0 Micro$0.0001Fits in one request

Qwen3.8 2.4T A95B$0.0050Fits in one request

Granite 4.0 Micro costs less

Repository review

50K input + 3K output tokens

Granite 4.0 Micro$0.0012Fits in one request

Qwen3.8 2.4T A95B$0.118Fits in one request

Granite 4.0 Micro costs less

Agent loop

200K input + 10K output tokens

Granite 4.0 Micro$0.0045Exceeds the context window

Qwen3.8 2.4T A95B$0.460Fits in one request

Granite 4.0 Micro costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Granite 4.0 Micro and Qwen3.8 2.4T A95B
Specification	IBM Granite 4.0 Micro	Qwen3.8 2.4T A95B
Maker	IBM Granite	Qwen
Weights	Open weights	Open weights
Released	October 20, 2025	August 12, 2026
Context window	131K	1.05M
Input $/Mtok	$0.017	$2.00
Output $/Mtok	$0.112	$6.00
Coding index	Not benchmarked	Not benchmarked
Independent measurements behind it	0	0
Cost per solved task	Not computable	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is Granite 4.0 Micro better than Qwen3.8 2.4T A95B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Granite 4.0 Micro for output tokens 53.6x cheaper ($0.112 vs $6.00 per million) and work measured by AA Intelligence Index or GPQA Diamond (Artificial Analysis run), where it leads.

Which is cheaper, Granite 4.0 Micro or Qwen3.8 2.4T A95B?

Granite 4.0 Micro costs $0.017 per million input tokens and $0.112 per million output tokens; Qwen3.8 2.4T A95B costs $2.00 and $6.00. Cost per solved task is known for neither of them.

Which has the bigger context window, Granite 4.0 Micro or Qwen3.8 2.4T A95B?

Qwen3.8 2.4T A95B, with 1.05M tokens against 131K.

How many benchmarks is the Granite 4.0 Micro vs Qwen3.8 2.4T A95B comparison based on?

4 benchmarks have a result for both models as of October 22, 2026. Granite 4.0 Micro's coding index rests on 0 independent benchmarks and Qwen3.8 2.4T A95B's on 0. Where only one model has a result, the page says so instead of naming a winner.

Granite 4.0 Micro or Qwen3.8 2.4T A95B: which to pick

Which one for your work

Coding

Intelligence

Agentic work

Long documents

Everyday cost

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

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