Knowledge
Directional only- MAI-Thinking-1
- 72.5
- Soofi S 30B-A3B
- 49.9
- Weighted basis
- 3 vs 2 rows
- Reading
- Directional only
Model comparison
MAI-Thinking-1 vs Soofi S 30B-A3B
Updated August 7, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
3 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.
Which one for your work
Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.
Long documents
Prompts that approach the documented context limit
Soofi S 30B-A3B
Soofi S 30B-A3B has the larger documented context window.
Confidence: documented
Show secondary and unsupported calls
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
Confidence: limited
Chat turn cost
1K fresh input + 500 output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
Cache-heavy agent loop cost
200K cached + 20K fresh input + 10K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
Repository review cost
50K fresh input + 3K output tokens
Not enough matched evidence
A complete comparable API-rate estimate is not available for both models.
Confidence: listed-rates
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
11 MAI-Thinking-1 only
3 Shared
5 Soofi S 30B-A3B only
- Shared results
- 3
- MAI-Thinking-1 only
- 11
- Soofi S 30B-A3B only
- 5
- Like-for-like categories
- 0 / 8
1 category uses different evidence sets. Those rows remain visible for coverage context but do not name a winner.
Category results, on a stated basis
Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.
Agentic
Not comparable- MAI-Thinking-1
- 46.0
- Soofi S 30B-A3B
- Not measured
- Weighted basis
- 1 vs 0 rows
- Reading
- Not comparable
Coding
Not comparable- MAI-Thinking-1
- 65.5
- Soofi S 30B-A3B
- Not measured
- Weighted basis
- 2 vs 0 rows
- Reading
- Not comparable
Reasoning
Not comparable- MAI-Thinking-1
- Not measured
- Soofi S 30B-A3B
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Math
Not comparable- MAI-Thinking-1
- 89.7
- Soofi S 30B-A3B
- Not measured
- Weighted basis
- 2 vs 0 rows
- Reading
- Not comparable
Multilingual
Not comparable- MAI-Thinking-1
- Not measured
- Soofi S 30B-A3B
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Multimodal
Not comparable- MAI-Thinking-1
- Not measured
- Soofi S 30B-A3B
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Instruction following
Not comparable- MAI-Thinking-1
- 85.0
- Soofi S 30B-A3B
- Not measured
- Weighted basis
- 1 vs 0 rows
- Reading
- Not comparable
| Category | MAI-Thinking-1 | Soofi S 30B-A3B | Weighted basis | Reading |
|---|---|---|---|---|
| Knowledge | 72.5 | 49.9 | Directional only3 vs 2 rows | Directional only |
| Agentic | 46.0 | Not measured | Not comparable1 vs 0 rows | Not comparable |
| Coding | 65.5 | Not measured | Not comparable2 vs 0 rows | Not comparable |
| Reasoning | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Math | 89.7 | Not measured | Not comparable2 vs 0 rows | Not comparable |
| Multilingual | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Multimodal | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Instruction following | 85.0 | Not measured | Not comparable1 vs 0 rows | Not comparable |
Shape of the matched evidence
Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.
Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.
GPQA
Knowledge
MAI-Thinking-1: 84.2%Soofi S 30B-A3B: 43.4%Normalized gap 40.8MAI-Thinking-1 source Soofi S 30B-A3B sourceMMLU-Pro
Knowledge
MAI-Thinking-1: 85%Soofi S 30B-A3B: 51.4%Normalized gap 33.6MAI-Thinking-1 source Soofi S 30B-A3B source
What each workload costs
Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.
Chat turn
1K fresh input + 500 output tokens
- MAI-Thinking-1
- API rate not published
- Fits in one request
- Soofi S 30B-A3B
- Self-hosted; infrastructure cost varies
- Fits in one request
MAI-Thinking-1 has no comparable published API token rate. Soofi S 30B-A3B has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- MAI-Thinking-1
- API rate not published
- Fits in one request
- Soofi S 30B-A3B
- Self-hosted; infrastructure cost varies
- Fits in one request
MAI-Thinking-1 has no comparable published API token rate. Soofi S 30B-A3B has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- MAI-Thinking-1
- API rate not published
- Fits in one request
- Cached-input rate unavailable
- Soofi S 30B-A3B
- Self-hosted; infrastructure cost varies
- Fits in one request
- Cached-input rate unavailable
MAI-Thinking-1 has no comparable published API token rate. Soofi S 30B-A3B has no comparable published API token rate.
Specification differences
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
SpecificationMAI-Thinking-1Soofi S 30B-A3B
Context window
Maximum documented context; output-token limits may be lower.
MAI-Thinking-1
256K
Soofi S 30B-A3B
1M
API model ID
MAI-Thinking-1
Not sourced
Soofi S 30B-A3B
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
MAI-Thinking-1
No comparable hosted API rate
Soofi S 30B-A3B
No comparable hosted API rate
Documented inputs
MAI-Thinking-1
Not sourced
Soofi S 30B-A3B
Not sourced
Documented outputs
MAI-Thinking-1
Not sourced
Soofi S 30B-A3B
Not sourced
Provider availability
MAI-Thinking-1
Not sourced
Soofi S 30B-A3B
Not sourced
Reasoning profile
MAI-Thinking-1
Reasoning
Soofi S 30B-A3B
Non-Reasoning
Weight access
MAI-Thinking-1
Proprietary
Soofi S 30B-A3B
Open Weight
License
MAI-Thinking-1
Proprietary
Soofi S 30B-A3B
Open Weight
Release date
MAI-Thinking-1
2026-06-02
Soofi S 30B-A3B
2026-07-10
If you already use one of these models
- Deployment change
- The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
- Quality signal
- At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
- Workload cost
- A complete comparable API-rate estimate is not available for both models.
- Context tradeoff
- Soofi S 30B-A3B has the larger documented window (1M).
Run the same representative tasks against both endpoints before changing production traffic.
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence19 rows
Agentic
Terminal-Bench 2.0
MAI-Thinking-146%SourceSoofi S 30B-A3B—Not directly comparable
Coding
LiveCodeBench v6
MAI-Thinking-187.7%SourceSoofi S 30B-A3B—Not directly comparable
SWE-bench Verified
MAI-Thinking-173.5%SourceSoofi S 30B-A3B—Not directly comparable
SWE-bench Pro
MAI-Thinking-152.8%SourceSoofi S 30B-A3B—Not directly comparable
Terminal-Bench 2.0
MAI-Thinking-146.0%SourceSoofi S 30B-A3B—Not directly comparable
HumanEval
MAI-Thinking-1—Soofi S 30B-A3B73.8%SourceNot directly comparable
Reasoning
Knowledge
GPQA
MAI-Thinking-184.2%SourceSoofi S 30B-A3B43.4%SourceMAI-Thinking-1 leads this result
GPQA-D
MAI-Thinking-184.2%SourceSoofi S 30B-A3B43.4%SourceMAI-Thinking-1 leads this result
MMLU-Pro
MAI-Thinking-185%SourceSoofi S 30B-A3B51.4%SourceMAI-Thinking-1 leads this result
SimpleQA
MAI-Thinking-131%SourceSoofi S 30B-A3B—Not directly comparable
AGIEval
MAI-Thinking-1—Soofi S 30B-A3B66.9%SourceNot directly comparable
Math
Instruction following
IFBench
MAI-Thinking-185%SourceSoofi S 30B-A3B—Not directly comparable
Frequently asked questions
Which is better, MAI-Thinking-1 or Soofi S 30B-A3B?
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner. The page therefore keeps the decision tied to the specific documented workload.
Which is better for coding, MAI-Thinking-1 or Soofi S 30B-A3B?
The published evidence does not provide a shared weighted coding basis for both models, so BenchLM does not name a coding winner.
Which is better for agentic tasks, MAI-Thinking-1 or Soofi S 30B-A3B?
The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.
Which costs less, MAI-Thinking-1 or Soofi S 30B-A3B?
Both models do not have comparable published API token rates, so this page does not name a universal price winner.
Which has the larger context window, MAI-Thinking-1 or Soofi S 30B-A3B?
Soofi S 30B-A3B has the larger documented context window: 1M, compared with 256K.
Related comparisons
Last updated August 7, 2026
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