Knowledge
Directional only- GPT-4.1 nano
- 50.3
- Soofi S 30B-A3B
- 49.9
- Weighted basis
- 1 vs 2 rows
- Reading
- Directional only
GPT-4.1 nano vs Soofi S 30B-A3B
Updated August 29, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Decision reading
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
1 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.
No workload recommendation clears the current evidence threshold.
Use the matched evidence, workload costs, and sourced specifications below instead of treating a point score as a universal answer.
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
Long documents
Prompts that approach the documented context limit
No clear pick
The documented context windows are equal.
Confidence: documented
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: rate-fallback
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.
3 GPT-4.1 nano only
1 Shared
7 Soofi S 30B-A3B only
- Shared results
- 1
- GPT-4.1 nano only
- 3
- Soofi S 30B-A3B only
- 7
- 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- GPT-4.1 nano
- Not measured
- Soofi S 30B-A3B
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Coding
Not comparable- GPT-4.1 nano
- Not measured
- Soofi S 30B-A3B
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Reasoning
Not comparable- GPT-4.1 nano
- Not measured
- Soofi S 30B-A3B
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Math
Not comparable- GPT-4.1 nano
- 1.0
- Soofi S 30B-A3B
- Not measured
- Weighted basis
- 1 vs 0 rows
- Reading
- Not comparable
Multilingual
Not comparable- GPT-4.1 nano
- Not measured
- Soofi S 30B-A3B
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Multimodal
Not comparable- GPT-4.1 nano
- Not measured
- Soofi S 30B-A3B
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Instruction following
Not comparable- GPT-4.1 nano
- 83.2
- Soofi S 30B-A3B
- Not measured
- Weighted basis
- 1 vs 0 rows
- Reading
- Not comparable
| Category | GPT-4.1 nano | Soofi S 30B-A3B | Weighted basis | Reading |
|---|---|---|---|---|
| Knowledge | 50.3 | 49.9 | Directional only1 vs 2 rows | Directional only |
| Agentic | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Coding | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Reasoning | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Math | 1.0 | Not measured | Not comparable1 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 | 83.2 | 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
GPT-4.1 nano: 50.3%Soofi S 30B-A3B: 43.4%Normalized gap 6.9GPT-4.1 nano 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
- GPT-4.1 nano
- $0.0003
- Fits in one request
- Soofi S 30B-A3B
- Self-hosted; infrastructure cost varies
- Fits in one request
Soofi S 30B-A3B has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- GPT-4.1 nano
- $0.0062
- Fits in one request
- Soofi S 30B-A3B
- Self-hosted; infrastructure cost varies
- Fits in one request
Soofi S 30B-A3B has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- GPT-4.1 nano
- $0.026
- Fits in one request
- Cached input priced at the published list-input rate
- Soofi S 30B-A3B
- Self-hosted; infrastructure cost varies
- Fits in one request
- Cached-input rate unavailable
GPT-4.1 nano has no published cached-input rate, so cached tokens use its listed input 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.
SpecificationGPT-4.1 nanoSoofi S 30B-A3B
Context window
Maximum documented context; output-token limits may be lower.
GPT-4.1 nano
1M
Soofi S 30B-A3B
1M
API model ID
GPT-4.1 nano
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.
GPT-4.1 nano
Not published
Soofi S 30B-A3B
No comparable hosted API rate
Documented inputs
GPT-4.1 nano
Not sourced
Soofi S 30B-A3B
Not sourced
Documented outputs
GPT-4.1 nano
Not sourced
Soofi S 30B-A3B
Not sourced
Provider availability
GPT-4.1 nano
Not sourced
Soofi S 30B-A3B
Not sourced
Reasoning profile
GPT-4.1 nano
Non-Reasoning
Soofi S 30B-A3B
Non-Reasoning
Weight access
GPT-4.1 nano
Proprietary
Soofi S 30B-A3B
Open Weight
License
GPT-4.1 nano
Proprietary
Soofi S 30B-A3B
Open Weight
Release date
GPT-4.1 nano
2025-04-14
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
- Both models list 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 evidence11 rows
Coding
HumanEval
GPT-4.1 nano—Soofi S 30B-A3B73.8%SourceNot directly comparable
Reasoning
Knowledge
MMLU
GPT-4.1 nano80.1%SourceSoofi S 30B-A3B—Not directly comparable
GPQA
GPT-4.1 nano50.3%SourceSoofi S 30B-A3B43.4%SourceGPT-4.1 nano leads this result
GPQA-D
GPT-4.1 nano—Soofi S 30B-A3B43.4%SourceNot directly comparable
MMLU-Pro
GPT-4.1 nano—Soofi S 30B-A3B51.4%SourceNot directly comparable
AGIEval
GPT-4.1 nano—Soofi S 30B-A3B66.9%SourceNot directly comparable
Math
Instruction following
IFEval
GPT-4.1 nano83.2%SourceSoofi S 30B-A3B—Not directly comparable
Frequently asked questions
Which is better, GPT-4.1 nano 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, GPT-4.1 nano 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, GPT-4.1 nano 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, GPT-4.1 nano 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, GPT-4.1 nano or Soofi S 30B-A3B?
Both models list the same context window, 1M.
Related comparisons
Last updated August 29, 2026
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