Coding
Directional only- Claude 4 Sonnet
- 72.7
- Inkling
- 68.6
- Weighted basis
- 1 vs 2 rows
- Reading
- Directional only
Five or fewer confirmed AI changes, with original sources, on mornings when something changed.A free source-linked morning brief.
Start the free Radar BriefUpdated August 29, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Decision reading
Inkling has the higher public score, 67.02 versus 42.37, and the 90% score intervals do not overlap.
1 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.
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.
Prompts that approach the documented context limit
Inkling
Inkling has the larger documented context window.
Confidence: documented
1K fresh input + 500 output tokens
Inkling
Inkling has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
50K fresh input + 3K output tokens
Inkling
Inkling has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
Code generation, repair, and software-engineering tasks
Not enough matched evidence
The category averages use different weighted benchmark sets, so they are directional rather than like-for-like.
Confidence: limited
Tool use, computer use, and multi-step task completion
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
Confidence: limited
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. Claude 4 Sonnet does not fit this workload in one request. Claude 4 Sonnet has no published cached-input rate, so cached tokens use its listed input rate.
Confidence: rate-fallback
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
1 category uses different evidence sets. Those rows remain visible for coverage context but do not name a winner.
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.
| Category | Claude 4 Sonnet | Inkling | Weighted basis | Reading |
|---|---|---|---|---|
| Coding | 72.7 | 68.6 | Directional only1 vs 2 rows | Directional only |
| Agentic | Not measured | 69.4 | Not comparable0 vs 2 rows | Not comparable |
| Reasoning | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Knowledge | Not measured | 51.6 | Not comparable0 vs 2 rows | Not comparable |
| Math | Not measured | 97.1 | Not comparable0 vs 1 rows | Not comparable |
| Multilingual | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Multimodal | Not measured | 76.5 | Not comparable0 vs 2 rows | Not comparable |
| Instruction following | Not measured | 79.8 | Not comparable0 vs 1 rows | Not comparable |
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.
SWE-bench Verified
Coding
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.
1K fresh input + 500 output tokens
Inkling has the lower modeled cost
Costs use the listed standard API rates.
50K fresh input + 3K output tokens
Inkling has the lower modeled cost
Costs use the listed standard API rates.
200K cached + 20K fresh input + 10K output tokens
Claude 4 Sonnet does not fit this workload in one request. Claude 4 Sonnet has no published cached-input rate, so cached tokens use its listed input rate.
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
Maximum documented context; output-token limits may be lower.
Claude 4 Sonnet
200K
Inkling
1M
Claude 4 Sonnet
Not sourced
Inkling
Not sourced
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Claude 4 Sonnet
Not published
Inkling
$0.374 per 1M cached input tokens
Claude 4 Sonnet
Not sourced
Inkling
Not sourced
Claude 4 Sonnet
Not sourced
Inkling
Not sourced
Claude 4 Sonnet
Not sourced
Inkling
Not sourced
Claude 4 Sonnet
Non-Reasoning
Inkling
Hybrid
Claude 4 Sonnet
Proprietary
Inkling
Open Weight
Claude 4 Sonnet
Proprietary
Inkling
Open Weight
Claude 4 Sonnet
2025-05-01
Inkling
2026-07-15
Run the same representative tasks against both endpoints before changing production traffic.
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Gert Labs
Not directly comparable
JobBench
Not directly comparable
Terminal-Bench 2.0
Not directly comparable
BrowseComp
Not directly comparable
MCP Atlas
Not directly comparable
AIME26
Not directly comparable
IFBench
Not directly comparable
Inkling has the higher public score, 67.02 versus 42.37, and the 90% score intervals do not overlap. That is the clearest overall quality signal in the current public data.
The current coding averages use different weighted benchmark sets, so BenchLM does not name a winner from them. Read the shared benchmark rows directly and test the models on the same task set.
The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.
For the stated presets, chat costs $0.0105 on Claude 4 Sonnet and $0.00421 on Inkling; repository review costs $0.195 and $0.10754; the cache-heavy agent loop costs $0.81 and $0.159. Claude 4 Sonnet does not fit this workload in one request. Claude 4 Sonnet has no published cached-input rate, so cached tokens use its listed input rate.
Inkling has the larger documented context window: 1M, compared with 200K.
Last updated August 29, 2026
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