Granite 4.0 Micro vs Kimi K2 0905
Kimi K2 0905 leads Granite 4.0 Micro on the Artificial Analysis Intelligence Index, 15.3 to 5.1, and Granite 4.0 Micro costs 22.3x less per output token ($0.112 vs $2.50 per million). Updated October 22, 2026; 11 benchmarks have a result for both.
Granite 4.0 Micro or Kimi K2 0905: 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 22.3x cheaper ($0.112 vs $2.50 per million) and work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.
- Shared results
- 11
- Granite 4.0 Micro only
- 2
- Kimi K2 0905 only
- 6
- Like-for-like categories
- 7 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
Kimi K2 0905
Kimi K2 0905 leads, 15.3 against 5.1.
Same board, both measured
Web design
Design Arena: websites
No call
Only Kimi K2 0905 has a Design Arena: websites result, 1088.
Directional only
Long documents
Listed context window
Kimi K2 0905
Kimi K2 0905 takes 262K tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Granite 4.0 Micro
Granite 4.0 Micro $0.0001, Kimi K2 0905 $0.0019 per turn.
List prices
At a glance
- Coding index
- Granite 4.0 Micro not benchmarked, Kimi K2 0905 not benchmarked.
- Widest category
- Agentic work, 60.8 points apart on average over 1 shared benchmark.
- Widest single gap
- τ²-Bench Telecom: Granite 4.0 Micro 12.6% against Kimi K2 0905 73.4%, 60.8 points apart on a 0 to 100 scale.
- Output price
- Granite 4.0 Micro $0.112 against Kimi K2 0905 $2.50 per million output tokens, 22.3x apart.
- Context window
- Granite 4.0 Micro takes 131K tokens, Kimi K2 0905 262K.
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.
| Category | Granite 4.0 Micro | Bars | Kimi K2 0905 | Ties |
|---|---|---|---|---|
| Coding | 0 | 2 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 2 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 1 | ||
| General | 0 | 2 | ||
| All shared boards | 0 | 11 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
| Benchmark | Granite 4.0 Micro | Kimi K2 0905 | Leader |
|---|---|---|---|
| LiveCodeBench (Artificial Analysis run) | 18.0% | 61.0% | Kimi K2 0905 |
| Terminal-Bench Hard (Artificial Analysis run) | 1.5% | 23.5% | Kimi K2 0905 |
| WeirdML | Not measured | 36.7% | Only Kimi K2 0905 measured |
| ALE-Bench | Not measured | 267.1 | Only Kimi K2 0905 measured |
| Neither model has a result on the other 39 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Granite 4.0 Micro | Kimi K2 0905 | Leader |
|---|---|---|---|
| AA Intelligence Index | 5.1 | 15.3 | Kimi K2 0905 |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Granite 4.0 Micro | Kimi K2 0905 | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 12.6% | 73.4% | Kimi K2 0905 |
| Neither model has a result on the other 41 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Granite 4.0 Micro | Kimi K2 0905 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 33.6% | 76.7% | Kimi K2 0905 |
| Humanity's Last Exam (Artificial Analysis run) | 5.0% | 6.4% | Kimi K2 0905 |
| GPQA Diamond (Epoch AI run) | 28.3% | Not measured | Only Granite 4.0 Micro measured |
| Kagi LLM Benchmark | Not measured | 52.2% | Only Kimi K2 0905 measured |
| Neither model has a result on the other 19 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Granite 4.0 Micro | Kimi K2 0905 | Leader |
|---|---|---|---|
| AA Math Index | 6.0 | 57.3 | Kimi K2 0905 |
| AIME 2025 (Artificial Analysis run) | 6.0% | 57.3% | Kimi K2 0905 |
| OTIS Mock AIME | 2.8% | Not measured | Only Granite 4.0 Micro measured |
| Neither model has a result on the other 11 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Granite 4.0 Micro | Kimi K2 0905 | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 44.7% | 81.9% | Kimi K2 0905 |
| Neither model has a result on the other 19 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Granite 4.0 Micro | Kimi K2 0905 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1088 | Only Kimi K2 0905 measured |
| Design Arena: all code categories | Not measured | 1098 | Only Kimi K2 0905 measured |
| Neither model has a result on the other 7 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Granite 4.0 Micro | Kimi K2 0905 | Leader |
|---|---|---|---|
| IFBench | 24.8% | 41.7% | Kimi K2 0905 |
| Long context reasoning (AA-LCR) | 7.0% | 53.0% | Kimi K2 0905 |
| Fiction.LiveBench | Not measured | 66.7% | Only Kimi K2 0905 measured |
| Neither model has a result on the other 45 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Granite 4.0 Micro | Kimi K2 0905 | 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 costs less
Repository review
50K input + 3K output tokens
Granite 4.0 Micro costs less
Agent loop
200K input + 10K output tokens
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.
| Specification | IBM Granite 4.0 Micro | MoonshotAI Kimi K2 0905 |
|---|---|---|
| Maker | IBM Granite | Moonshot AI |
| Weights | Open weights | Open weights |
| Released | October 20, 2025 | September 4, 2025 |
| Context window | 131K | 262K |
| Input $/Mtok | $0.017 | $0.60 |
| Output $/Mtok | $0.112 | $2.50 |
| 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 Kimi K2 0905 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 22.3x cheaper ($0.112 vs $2.50 per million) and work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.
Which is cheaper, Granite 4.0 Micro or Kimi K2 0905?
Granite 4.0 Micro costs $0.017 per million input tokens and $0.112 per million output tokens; Kimi K2 0905 costs $0.60 and $2.50. Cost per solved task is known for neither of them.
Which has the bigger context window, Granite 4.0 Micro or Kimi K2 0905?
Kimi K2 0905, with 262K tokens against 131K.
How many benchmarks is the Granite 4.0 Micro vs Kimi K2 0905 comparison based on?
11 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 Kimi K2 0905's on 0. Where only one model has a result, the page says so instead of naming a winner.