Reasoning
Like-for-like- GPT-6 Astra
- 95.0
- Inkling-Small
- 40.1
- Weighted basis
- 1 vs 1 rows
- Reading
- GPT-6 Astra leads
GPT-6 Astra vs Inkling-Small
Updated September 3, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Decision reading
GPT-6 Astra has the higher public score, 81.88 versus 63.47, and the 90% score intervals do not overlap.
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
GPT-6 Astra
GPT-6 Astra has the larger documented context window.
Confidence: documented
Chat turn cost
1K fresh input + 500 output tokens
Inkling-Small
Inkling-Small has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
Cache-heavy agent loop cost
200K cached + 20K fresh input + 10K output tokens
Inkling-Small
Inkling-Small has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
Show secondary and unsupported calls
Repository review cost
50K fresh input + 3K output tokens
Inkling-Small
Inkling-Small has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
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
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
13 GPT-6 Astra only
3 Shared
17 Inkling-Small only
- Shared results
- 3
- GPT-6 Astra only
- 13
- Inkling-Small only
- 17
- Like-for-like categories
- 1 / 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.
Knowledge
Directional only- GPT-6 Astra
- 96.0
- Inkling-Small
- 53.4
- Weighted basis
- 1 vs 2 rows
- Reading
- Directional only
Agentic
Not comparable- GPT-6 Astra
- Not measured
- Inkling-Small
- 70.1
- Weighted basis
- 0 vs 2 rows
- Reading
- Not comparable
Coding
Not comparable- GPT-6 Astra
- Not measured
- Inkling-Small
- 62.4
- Weighted basis
- 0 vs 3 rows
- Reading
- Not comparable
Math
Not comparable- GPT-6 Astra
- 97.6
- Inkling-Small
- 92.9
- Weighted basis
- 1 vs 2 rows
- Reading
- Not comparable
Multilingual
Not comparable- GPT-6 Astra
- Not measured
- Inkling-Small
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Multimodal
Not comparable- GPT-6 Astra
- Not measured
- Inkling-Small
- 76.6
- Weighted basis
- 0 vs 2 rows
- Reading
- Not comparable
Instruction following
Not comparable- GPT-6 Astra
- Not measured
- Inkling-Small
- 82.2
- Weighted basis
- 0 vs 1 rows
- Reading
- Not comparable
| Category | GPT-6 Astra | Inkling-Small | Weighted basis | Reading |
|---|---|---|---|---|
| Reasoning | 95.0 | 40.1 | Like-for-like1 vs 1 rows | GPT-6 Astra leads |
| Knowledge | 96.0 | 53.4 | Directional only1 vs 2 rows | Directional only |
| Agentic | Not measured | 70.1 | Not comparable0 vs 2 rows | Not comparable |
| Coding | Not measured | 62.4 | Not comparable0 vs 3 rows | Not comparable |
| Math | 97.6 | 92.9 | Not comparable1 vs 2 rows | Not comparable |
| Multilingual | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Multimodal | Not measured | 76.6 | Not comparable0 vs 2 rows | Not comparable |
| Instruction following | Not measured | 82.2 | Not comparable0 vs 1 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.
ARC-AGI-2
Reasoning
GPQA
Knowledge
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-6 Astra
- $0.035
- Fits in one request
- Inkling-Small
- $0.0013
- Fits in one request
Inkling-Small has the lower modeled cost
Costs use the listed standard API rates.
Repository review
50K fresh input + 3K output tokens
- GPT-6 Astra
- $0.65
- Fits in one request
- Inkling-Small
- $0.03332
- Fits in one request
Inkling-Small has the lower modeled cost
Costs use the listed standard API rates.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- GPT-6 Astra
- $0.9
- Fits in one request
- Inkling-Small
- $0.0492
- Fits in one request
Inkling-Small has the lower modeled cost
Costs use the listed standard API rates.
Specification differences
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
SpecificationGPT-6 AstraInkling-Small
Context window
Maximum documented context; output-token limits may be lower.
GPT-6 Astra
Inkling-Small
1M
API model ID
GPT-6 Astra
gpt-6-astra
OpenAI GPT-6 Astra model documentationInkling-Small
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
GPT-6 Astra
$1 per 1M cached input tokens
OpenAI GPT-6 Astra model documentationInkling-Small
$0.116 per 1M cached input tokens
Documented inputs
GPT-6 Astra
text, image
OpenAI GPT-6 Astra model documentationInkling-Small
Not sourced
Documented outputs
GPT-6 Astra
Inkling-Small
Not sourced
Provider availability
GPT-6 Astra
Limited Availability · OpenAI Responses API, ChatGPT Plus, Pro, Business, and Enterprise
OpenAI GPT-6 Astra model documentationInkling-Small
Not sourced
Reasoning profile
GPT-6 Astra
Reasoning
Inkling-Small
Hybrid
Weight access
GPT-6 Astra
Proprietary
Inkling-Small
Open Weight
License
GPT-6 Astra
Proprietary
Inkling-Small
Open Weight
Release date
GPT-6 Astra
2026-09-03
Inkling-Small
2026-07-30
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
- GPT-6 Astra has the higher public score, 81.88 versus 63.47, and the 90% score intervals do not overlap.
- Workload cost
- Repository review: $0.65 vs $0.03332. Cache-heavy agent loop: $0.9 vs $0.0492.
- Context tradeoff
- GPT-6 Astra has the larger documented window (1.05M).
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 evidence33 rows
Agentic
OSWorld 2.0
GPT-6 Astra72.6%SourceInkling-Small—Not directly comparable
Terminal-Bench 4.0
GPT-6 Astra57.70%SourceInkling-Small—Not directly comparable
Terminal-Bench-Science 0.1
GPT-6 Astra64.6%SourceInkling-Small—Not directly comparable
ExploitGym
GPT-6 Astra42.4%SourceInkling-Small—Not directly comparable
Agents' Last Exam
GPT-6 Astra59.3%SourceInkling-Small—Not directly comparable
Terminal-Bench 2.0
GPT-6 Astra—Inkling-Small64.7%SourceNot directly comparable
BrowseComp
GPT-6 Astra—Inkling-Small77.4%SourceNot directly comparable
MCP Atlas
GPT-6 Astra—Inkling-Small79.6%SourceNot directly comparable
Toolathlon-Verified
GPT-6 Astra—Inkling-Small54.4%SourceNot directly comparable
Coding
deepSwe
GPT-6 Astra74.1%SourceInkling-Small—Not directly comparable
SWE-bench Verified
GPT-6 Astra—Inkling-Small80.2%SourceNot directly comparable
SWE-bench Pro
GPT-6 Astra—Inkling-Small55.9%SourceNot directly comparable
Terminal-Bench 2.0
GPT-6 Astra—Inkling-Small64.7%SourceNot directly comparable
SciCode
GPT-6 Astra—Inkling-Small48.7%SourceNot directly comparable
Reasoning
ARC-AGI-2
GPT-6 Astra95%SourceInkling-Small40.1%SourceGPT-6 Astra leads this result
ARC-AGI-3
GPT-6 Astra62.7%SourceInkling-Small—Not directly comparable
MRCR v2 256K-512K
GPT-6 Astra100.0%SourceInkling-Small—Not directly comparable
MRCR v2 512K-1M
GPT-6 Astra96.3%SourceInkling-Small—Not directly comparable
CritPt
GPT-6 Astra—Inkling-Small8.3%SourceNot directly comparable
Knowledge
GPQA
GPT-6 Astra96%SourceInkling-Small89.5%SourceGPT-6 Astra leads this result
GPQA-D
GPT-6 Astra96.0%SourceInkling-Small89.5%SourceGPT-6 Astra leads this result
HealthBench Professional
GPT-6 Astra63.4%SourceInkling-Small—Not directly comparable
HealthBench Hard
GPT-6 Astra36.3%SourceInkling-Small—Not directly comparable
HLE
GPT-6 Astra—Inkling-Small47.8%SourceNot directly comparable
HLE w/o tools
GPT-6 Astra—Inkling-Small31.6%SourceNot directly comparable
Math
Multimodal
Instruction following
IFBench
GPT-6 Astra—Inkling-Small82.2%SourceNot directly comparable
Frequently asked questions
Which is better, GPT-6 Astra or Inkling-Small?
GPT-6 Astra has the higher public score, 81.88 versus 63.47, and the 90% score intervals do not overlap. That is the clearest overall quality signal in the current public data.
Which is better for coding, GPT-6 Astra or Inkling-Small?
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-6 Astra or Inkling-Small?
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-6 Astra or Inkling-Small?
For the stated presets, chat costs $0.035 on GPT-6 Astra and $0.0013 on Inkling-Small; repository review costs $0.65 and $0.03332; the cache-heavy agent loop costs $0.9 and $0.0492. Costs use the listed standard API rates.
Which has the larger context window, GPT-6 Astra or Inkling-Small?
GPT-6 Astra has the larger documented context window: 1.05M, compared with 1M.
Related comparisons
Last updated September 3, 2026
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