Saba vs Perceptron Mk1.5
Saba costs 2.5x less per output token than Perceptron Mk1.5 ($0.60 vs $1.50 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.60
- Coding
- No data
- Overall
- No data
- Output $/M
- $1.50
Saba or Perceptron Mk1.5: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Saba for output tokens 2.5x cheaper ($0.60 vs $1.50 per million).
No benchmark has tested both yet. Saba has results on AA Intelligence Index, GPQA Diamond (Artificial Analysis run) and Humanity's Last Exam (Artificial Analysis run); Perceptron Mk1.5 has none yet. Compare them on price and context instead.
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
No call
Only Saba has a AA Intelligence Index result, 6.5.
Directional only
Long documents
Listed context window
Perceptron Mk1.5
Perceptron Mk1.5 takes 37K tokens against 33K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Saba
Saba $0.0005, Perceptron Mk1.5 $0.0009 per turn.
List prices
At a glance
- Coding index
- Saba not benchmarked, Perceptron Mk1.5 not benchmarked.
- Widest category
- None yet: no category has been tested on both models.
- Widest single gap
- None yet: no benchmark has tested both models.
- Output price
- Saba $0.60 against Perceptron Mk1.5 $1.50 per million output tokens, 2.5x apart.
- Context window
- Saba takes 33K tokens, Perceptron Mk1.5 37K.
Benchmark by benchmark
Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Saba | Perceptron Mk1.5 | Leader |
|---|---|---|---|
| AA Intelligence Index | 6.5 | Not measured | Only Saba measured |
| Neither model has a result on the other 1 board here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Saba | Perceptron Mk1.5 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 42.4% | Not measured | Only Saba measured |
| Humanity's Last Exam (Artificial Analysis run) | 4.3% | Not measured | Only Saba measured |
| Neither model has a result on the other 20 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Saba | Perceptron Mk1.5 | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 61.1% | Not measured | Only Saba measured |
| Neither model has a result on the other 17 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
Saba costs less
Repository review
50K input + 3K output tokens
Saba costs less
Agent loop
200K input + 10K output tokens
Perceptron Mk1.5 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 | Mistral Saba | Perceptron Mk1.5 |
|---|---|---|
| Maker | Mistral AI | Perceptron |
| Weights | No public weights listed | No public weights listed |
| Released | February 17, 2025 | September 25, 2026 |
| Context window | 33K | 37K |
| Input $/Mtok | $0.20 | $0.15 |
| Output $/Mtok | $0.60 | $1.50 |
| 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 Saba better than Perceptron Mk1.5 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Saba for output tokens 2.5x cheaper ($0.60 vs $1.50 per million).
Which is cheaper, Saba or Perceptron Mk1.5?
Saba costs $0.20 per million input tokens and $0.60 per million output tokens; Perceptron Mk1.5 costs $0.15 and $1.50. Cost per solved task is known for neither of them.
Which has the bigger context window, Saba or Perceptron Mk1.5?
Perceptron Mk1.5, with 37K tokens against 33K.
Has any benchmark tested both Saba and Perceptron Mk1.5?
No benchmark has tested both yet. Saba has results on AA Intelligence Index, GPQA Diamond (Artificial Analysis run) and Humanity's Last Exam (Artificial Analysis run); Perceptron Mk1.5 has none yet. Compare them on price and context instead. Data as of October 22, 2026.