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Grok Build 0.1 vs Saba

Grok Build 0.1 leads Saba on the Artificial Analysis Intelligence Index, 27.2 to 6.5, and Saba costs 3.3x less per output token ($0.60 vs $2.00 per million). Updated October 21, 2026; 1 benchmarks have a result for both.

Grok Build 0.1xAI
Coding
No data
Overall
No data
Output $/M
$2.00
1
SabaMistral AI
Coding
No data
Overall
No data
Output $/M
$0.60
0
vs boards won of 1 shared

Grok Build 0.1 or Saba: which to pick

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

Pick Grok Build 0.1 for a larger context window (256K against 33K tokens).

Shared results
1
Grok Build 0.1 only
2
Saba only
3
Like-for-like categories
1 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.

At a glance

Coding index
Grok Build 0.1 not benchmarked, Saba not benchmarked.
Widest category
Intelligence, 20.7 points apart on average over 1 shared benchmark.
Widest single gap
AA Intelligence Index: Grok Build 0.1 27.2 against Saba 6.5, 20.7 points apart on a 0 to 100 scale.
Output price
Grok Build 0.1 $2.00 against Saba $0.60 per million output tokens, 3.3x apart.
Context window
Grok Build 0.1 takes 256K tokens, Saba 33K.

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
CategoryGrok Build 0.1BarsSabaTies
Intelligence10
All shared boards10
CodingDirectional onlySix of these boards feed the Vibe Coding Index2 boards, none shared
Coding benchmarks for Grok Build 0.1 and Saba
BenchmarkGrok Build 0.1SabaLeader
AA Coding Index51.5Not measuredOnly Grok Build 0.1 measured
Vibe Code Bench (Vals AI)13.4%Not measuredOnly Grok Build 0.1 measured
Neither model has a result on the other 37 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Grok Build 0.1 and Saba
BenchmarkGrok Build 0.1SabaLeader
AA Intelligence Index27.26.5Grok Build 0.1
Neither model has a result on the other 1 board here
Agentic workNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Agentic work benchmarks for Grok Build 0.1 and Saba
BenchmarkGrok Build 0.1SabaLeader
Neither model has a result on 41 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Reasoning benchmarks for Grok Build 0.1 and Saba
BenchmarkGrok Build 0.1SabaLeader
GPQA Diamond (Artificial Analysis run)Not measured42.4%Only Saba measured
Humanity's Last Exam (Artificial Analysis run)Not measured4.3%Only Saba measured
Neither model has a result on the other 20 boards here
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Math benchmarks for Grok Build 0.1 and Saba
BenchmarkGrok Build 0.1SabaLeader
Neither model has a result on 13 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Knowledge benchmarks for Grok Build 0.1 and Saba
BenchmarkGrok Build 0.1SabaLeader
MMLU Pro (Artificial Analysis run)Not measured61.1%Only Saba measured
Neither model has a result on the other 17 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for Grok Build 0.1 and Saba
BenchmarkGrok Build 0.1SabaLeader
Neither model has a result on 9 boards here
GeneralNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
General benchmarks for Grok Build 0.1 and Saba
BenchmarkGrok Build 0.1SabaLeader
Neither model has a result on 46 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Grok Build 0.1 and Saba
BenchmarkGrok Build 0.1SabaLeader
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

Grok Build 0.1$0.0020Fits in one request
Saba$0.0005Fits in one request

Saba costs less

Repository review

50K input + 3K output tokens

Grok Build 0.1$0.056Fits in one request
Saba$0.012Exceeds the context window

Saba costs less

Agent loop

200K input + 10K output tokens

Grok Build 0.1$0.220Fits in one request
Saba$0.046Exceeds the context window

Saba 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 Grok Build 0.1 and Saba
SpecificationSpaceXAI Grok Build 0.1Mistral Saba
MakerxAIMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedMay 20, 2026February 17, 2025
Context window256K33K
Input $/Mtok$1.00$0.20
Output $/Mtok$2.00$0.60
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Grok Build 0.1 better than Saba for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Grok Build 0.1 for a larger context window (256K against 33K tokens).

Which is cheaper, Grok Build 0.1 or Saba?

Grok Build 0.1 costs $1.00 per million input tokens and $2.00 per million output tokens; Saba costs $0.20 and $0.60. Cost per solved task is known for neither of them.

Which has the bigger context window, Grok Build 0.1 or Saba?

Grok Build 0.1, with 256K tokens against 33K.

How many benchmarks is the Grok Build 0.1 vs Saba comparison based on?

1 benchmarks have a result for both models as of October 21, 2026. Grok Build 0.1's coding index rests on 1 independent benchmark and Saba's on 0. Where only one model has a result, the page says so instead of naming a winner.

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