Agentic
Not comparable- 1-bit Bonsai 4B
- Not ranked
- Cosmos3-Edge
- Not ranked
- Basis
- BenchAlign lane · 0 vs 0 public rows
- Reading
- Not comparable
1-bit Bonsai 4B vs Cosmos3-Edge
Updated September 4, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Decision reading
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. Use the documented cost, context, and runtime rows instead.
0 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
Share or export
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
Cosmos3-Edge
Cosmos3-Edge 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
1-bit Bonsai 4B and Cosmos3-Edge are not ranked on the public lane for coding, so no winner is named for coding.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
1-bit Bonsai 4B and Cosmos3-Edge are not ranked on the public lane for agentic, so no winner is named for agentic.
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
The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. 1-bit Bonsai 4B does not fit this workload in one request. 1-bit Bonsai 4B has no comparable published API token rate. Cosmos3-Edge has no comparable published API token rate.
Confidence: listed-rates
Repository review cost
50K fresh input + 3K output tokens
Not enough matched evidence
The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. 1-bit Bonsai 4B does not fit this workload in one request. 1-bit Bonsai 4B has no comparable published API token rate. Cosmos3-Edge has no comparable published API token rate.
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.
Evidence parity totals are not available.
- Shared results
- 0
- 1-bit Bonsai 4B only
- 0
- Cosmos3-Edge only
- 0
- Like-for-like categories
- 0 / 8
Category results, on a stated basis
Each row shows the public-lane category score for both models: the BenchAlign lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.
Coding
Not comparable- 1-bit Bonsai 4B
- Not ranked
- Cosmos3-Edge
- Not ranked
- Basis
- BenchAlign lane · 0 vs 0 public rows
- Reading
- Not comparable
Reasoning
Not comparable- 1-bit Bonsai 4B
- Not ranked
- Cosmos3-Edge
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Knowledge
Not comparable- 1-bit Bonsai 4B
- Not ranked
- Cosmos3-Edge
- Not ranked
- Basis
- BenchAlign lane · 0 vs 0 public rows
- Reading
- Not comparable
Math
Not comparable- 1-bit Bonsai 4B
- Not ranked
- Cosmos3-Edge
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multilingual
Not comparable- 1-bit Bonsai 4B
- Not ranked
- Cosmos3-Edge
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- 1-bit Bonsai 4B
- Not ranked
- Cosmos3-Edge
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Instruction following
Not comparable- 1-bit Bonsai 4B
- Not ranked
- Cosmos3-Edge
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
| Category | 1-bit Bonsai 4B | Cosmos3-Edge | Basis | Reading |
|---|---|---|---|---|
| Agentic | Not ranked | Not ranked | Not comparableBenchAlign lane · 0 vs 0 public rows | Not comparable |
| Coding | Not ranked | Not ranked | Not comparableBenchAlign lane · 0 vs 0 public rows | Not comparable |
| Reasoning | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Knowledge | Not ranked | Not ranked | Not comparableBenchAlign lane · 0 vs 0 public rows | Not comparable |
| Math | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multimodal | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Instruction following | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign) differ from the provisional-lane categories. Unranked scores sit on the lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.
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.
A shared-evidence shape is not available.
BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.
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
- 1-bit Bonsai 4B
- Self-hosted; infrastructure cost varies
- Fits in one request
- Cosmos3-Edge
- Self-hosted; infrastructure cost varies
- Fits in one request
1-bit Bonsai 4B has no comparable published API token rate. Cosmos3-Edge has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- 1-bit Bonsai 4B
- Self-hosted; infrastructure cost varies
- Does not fit in one request
- Cosmos3-Edge
- Self-hosted; infrastructure cost varies
- Fits in one request
1-bit Bonsai 4B does not fit this workload in one request. 1-bit Bonsai 4B has no comparable published API token rate. Cosmos3-Edge has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- 1-bit Bonsai 4B
- Self-hosted; infrastructure cost varies
- Does not fit in one request
- Cached-input rate unavailable
- Cosmos3-Edge
- Self-hosted; infrastructure cost varies
- Fits in one request
- Cached-input rate unavailable
1-bit Bonsai 4B does not fit this workload in one request. 1-bit Bonsai 4B has no comparable published API token rate. Cosmos3-Edge 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.
Specification1-bit Bonsai 4BCosmos3-Edge
Context window
Maximum documented context; output-token limits may be lower.
1-bit Bonsai 4B
32K
Cosmos3-Edge
256K
API model ID
1-bit Bonsai 4B
Not sourced
Cosmos3-Edge
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
1-bit Bonsai 4B
No comparable hosted API rate
Cosmos3-Edge
No comparable hosted API rate
Documented inputs
1-bit Bonsai 4B
Not sourced
Cosmos3-Edge
Not sourced
Documented outputs
1-bit Bonsai 4B
Not sourced
Cosmos3-Edge
Not sourced
Provider availability
1-bit Bonsai 4B
Not sourced
Cosmos3-Edge
Not sourced
Reasoning profile
1-bit Bonsai 4B
Non-Reasoning
Cosmos3-Edge
Reasoning
Weight access
1-bit Bonsai 4B
Open Weight
Cosmos3-Edge
Open Weight
License
1-bit Bonsai 4B
Open Weight
Cosmos3-Edge
Open Weight
Release date
1-bit Bonsai 4B
2026-03-31
Cosmos3-Edge
2026-07-20
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
- The public evidence has no benchmark result shared by both models, so it does not support a quality verdict.
- Workload cost
- A complete comparable API-rate estimate is not available for both models.
- Context tradeoff
- Cosmos3-Edge has the larger documented window (256K).
Run the same representative tasks against both endpoints before changing production traffic.
Frequently asked questions
Which is better, 1-bit Bonsai 4B or Cosmos3-Edge?
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. The page therefore keeps the decision tied to the specific documented workload.
Which is better for coding, 1-bit Bonsai 4B or Cosmos3-Edge?
1-bit Bonsai 4B and Cosmos3-Edge are not ranked on the public lane for coding, so no winner is named for coding.
Which is better for agentic tasks, 1-bit Bonsai 4B or Cosmos3-Edge?
1-bit Bonsai 4B and Cosmos3-Edge are not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
Which costs less, 1-bit Bonsai 4B or Cosmos3-Edge?
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, 1-bit Bonsai 4B or Cosmos3-Edge?
Cosmos3-Edge has the larger documented context window: 256K, compared with 32K.
Related comparisons
Last updated September 4, 2026
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