Inkling
Not tested yet
Language modelOpen source
Inkling
Thinking Machines Lab
- Released
- July 15, 2026
- Data date
- September 8, 2026
- Intelligence
- Overall score
- Speed
- 67.5 tokens/sOutput throughput
- Price
- Input · Output / 1M tokens
- Input
- Text, Image, Audio
- Output
- Text
No published category-wide ranking is available for this model.
Entries 1-12 of 60. Page 1 of 5.
Published benchmarks
Each chart compares models in the same documented test and highlights the current model.
Coding
2 measurementsCode Migration
Overall
Higher is better35 modelsInkling: Rank 30 of 35Data date: September 4, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- vals-code-migration:1:overall
- Metric
- accuracy
- Scale
- 0-100
- Participants
- 35
- Methodology and context
- Source model ID: thinkingmachines/inkling. Source model name: Inkling. Evaluator: Vals AI. Dataset type: private. Leaderboard date: 2026-09-03. Latency in seconds: 1773.502. Cost per task in USD: 3.006967. Source ID: vals-ai. Evidence capture ID: vals-code-migration-2026-09-04-37e66450d0d6. Source payload hash: 37e66450d0d6f681e77c4fe9942f74c0aa743078002f50aef50932407223f88f. Parser version: vals-astro-v2. Imported at: 2026-09-04
LiveCodeBench v6
Overall
Higher is better56 modelsInkling: Rank 19 of 56Data date: September 4, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- vals-lcb:1:overall
- Metric
- accuracy
- Scale
- 0-100
- Participants
- 56
- Methodology and context
- Source model ID: thinkingmachines/inkling. Source model name: Inkling. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-09-01. Latency in seconds: 257.712. Cost per task in USD: 0.153251. Source ID: vals-ai. Evidence capture ID: vals-lcb-2026-09-04-95ca83387127. Source payload hash: 95ca83387127df287e9a6d928c411c98c9b65b4cefeee46eb4008ca1521f5ed4. Parser version: vals-astro-v2. Imported at: 2026-09-04
Finance
3 measurementsCorpFin v2
Overall
Higher is better50 modelsInkling: Rank 5 of 50Data date: September 4, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- vals-corp-fin-v2:2:overall
- Metric
- accuracy
- Scale
- 0-100
- Participants
- 50
- Methodology and context
- Source model ID: thinkingmachines/inkling. Source model name: Inkling. Evaluator: Vals AI. Dataset type: private. Leaderboard date: 2026-08-12. Latency in seconds: 29.199. Cost per task in USD: 0.084258. Source ID: vals-ai. Evidence capture ID: vals-corp_fin_v2-2026-09-04-46dad6684551. Source payload hash: 46dad668455190ee4239b7c743d00d81c6fd3127e0d87123c518ec107c13b44d. Parser version: vals-astro-v2. Imported at: 2026-09-04
EMB
Overall
Higher is better32 modelsInkling: Rank 27 of 32Data date: September 4, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- vals-emb:1:overall
- Metric
- accuracy
- Scale
- 0-100
- Participants
- 32
- Methodology and context
- Source model ID: thinkingmachines/inkling. Source model name: Inkling. Evaluator: Vals AI. Dataset type: private. Leaderboard date: 2026-09-03. Latency in seconds: 1581.835. Cost per task in USD: 1.671783. Source ID: vals-ai. Evidence capture ID: vals-emb-2026-09-04-5d630bb9b3a7. Source payload hash: 5d630bb9b3a7674ec91efa385ebf472ae6d8bb96c8db2fa2dd5af3e813e66155. Parser version: vals-astro-v2. Imported at: 2026-09-04
Finance Agent (v2)
Overall
Higher is better33 modelsInkling: Rank 20 of 33Data date: September 4, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- vals-finance-agent-v2:2:overall
- Metric
- accuracy
- Scale
- 0-100
- Participants
- 33
- Methodology and context
- Source model ID: thinkingmachines/inkling. Source model name: Inkling. Evaluator: Vals AI. Dataset type: private. Leaderboard date: 2026-09-03. Latency in seconds: 1082.125. Cost per task in USD: 0.996264. Source ID: vals-ai. Evidence capture ID: vals-fabv2-2026-09-04-88f92e979bb6. Source payload hash: 88f92e979bb632f19bdb1ae6ca2768ced7b2b2b915ea3aac1553be06fa197204. Parser version: vals-astro-v2. Imported at: 2026-09-04
CyberBench
Overall
Higher is better19 modelsInkling: Rank 14 of 19Data date: September 4, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- vals-cyberbench:1:overall
- Metric
- accuracy
- Scale
- 0-100
- Participants
- 19
- Methodology and context
- Source model ID: thinkingmachines/inkling. Source model name: Inkling. Evaluator: Vals AI. Dataset type: private. Leaderboard date: 2026-09-01. Latency in seconds: 1999.375. Cost per task in USD: 4.849956. Source ID: vals-ai. Evidence capture ID: vals-cyber-2026-09-04-1f2ccbbb4491. Source payload hash: 1f2ccbbb44916facd69dfb2438a519f5f3d925ca46d875f9418106aa5dafa6e8. Parser version: vals-astro-v2. Imported at: 2026-09-04
GPQA Diamond
Overall
Higher is better54 modelsInkling: Rank 22 of 54Data date: September 4, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- vals-gpqa:1:overall
- Metric
- accuracy
- Scale
- 0-100
- Participants
- 54
- Methodology and context
- Source model ID: thinkingmachines/inkling. Source model name: Inkling. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-09-01. Latency in seconds: 308.595. Cost per task in USD: 0.16589. Source ID: vals-ai. Evidence capture ID: vals-gpqa-2026-09-04-fc438726f0d8. Source payload hash: fc438726f0d8523d320f02d75ae372a3fa38b28b36f70fe318d119f55153560d. Parser version: vals-astro-v2. Imported at: 2026-09-04
Legal
3 measurementsHarvey's Legal Agent Benchmark
Overall · Task fully resolved
Higher is better34 modelsInkling: Rank 18 of 34Data date: September 4, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- vals-legal-agent-benchmark:1:overall
- Metric
- task resolution rate
- Scale
- 0-100
- Participants
- 34
- Methodology and context
- Source model ID: thinkingmachines/inkling. Source model name: Inkling. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-09-03. Latency in seconds: 1103.634. Cost per task in USD: 1.252023. Source ID: vals-ai. Evidence capture ID: vals-hlab-2026-09-04-211eab6c865f. Source payload hash: 211eab6c865f7c6808000150de043c5f65dd420c200156b06c68b58057fbd685. Parser version: vals-astro-v2. Imported at: 2026-09-04
LegalBench
Overall
Higher is better53 modelsInkling: Rank 32 of 53Data date: September 4, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- vals-legal-bench:1:overall
- Metric
- accuracy
- Scale
- 0-100
- Participants
- 53
- Methodology and context
- Source model ID: thinkingmachines/inkling. Source model name: Inkling. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-09-01. Latency in seconds: 23.142. Cost per task in USD: 0.013327. Source ID: vals-ai. Evidence capture ID: vals-legal_bench-2026-09-04-ff81649923fb. Source payload hash: ff81649923fb684ff37d5f557fd320ba5ab433927831065ed781a94548f480ef. Parser version: vals-astro-v2. Imported at: 2026-09-04
Legal Research Bench
Overall · All-pass
Higher is better33 modelsInkling: Rank 18 of 33Data date: September 4, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- vals-legal-research:1:overall
- Metric
- all-pass rate
- Scale
- 0-100
- Participants
- 33
- Methodology and context
- Source model ID: thinkingmachines/inkling. Source model name: Inkling. Evaluator: Vals AI. Dataset type: private. Leaderboard date: 2026-09-03. Latency in seconds: 869.377. Cost per task in USD: 0.494044. Source ID: vals-ai. Evidence capture ID: vals-legal_research-2026-09-04-80d740c3f3ef. Source payload hash: 80d740c3f3ef5ee9176f2a9280a1825407c4fa31cdf19be9b448989fcb3ee859. Parser version: vals-astro-v2. Imported at: 2026-09-04
Health
2 measurementsMedCode
Overall
Higher is better40 modelsInkling: Rank 27 of 40Data date: September 4, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- vals-medcode:1:overall
- Metric
- accuracy
- Scale
- 0-100
- Participants
- 40
- Methodology and context
- Source model ID: thinkingmachines/inkling. Source model name: Inkling. Evaluator: Vals AI. Dataset type: private. Leaderboard date: 2026-09-03. Latency in seconds: 167.123. Cost per task in USD: 0.127025. Source ID: vals-ai. Evidence capture ID: vals-medcode-2026-09-04-c44942e3604f. Source payload hash: c44942e3604fa8eca13f660a1551cfa5ea9bbf9c67af141f41601402afceb569. Parser version: vals-astro-v2. Imported at: 2026-09-04
MedScribe
Overall
Higher is better41 modelsInkling: Rank 10 of 41Data date: September 4, 2026
Scale: 0% - 100%
Methodology and context
- Comparison cohort
- vals-medscribe:1:overall
- Metric
- accuracy
- Scale
- 0-100
- Participants
- 41
- Methodology and context
- Source model ID: thinkingmachines/inkling. Source model name: Inkling. Evaluator: Vals AI. Dataset type: private. Leaderboard date: 2026-09-03. Latency in seconds: 244.954. Cost per task in USD: 0.165561. Source ID: vals-ai. Evidence capture ID: vals-medscribe-2026-09-04-c86df6ced023. Source payload hash: c86df6ced023af4a251d97cf5f91df5f06151cd899b2529a2256d12e0656995a. Parser version: vals-astro-v2. Imported at: 2026-09-04
Recorded measurement details
Every observation retains its source value and published test conditions.
Code Migration: Overall (Show measurement, test conditions, and source)
- Source value
- 11.79
- Score
- 11.79
- Metric
- accuracy
- Unit
- %
- Benchmark version
- 1
- Category
- coding
- Task
- overall
- Task label
- Overall
- Direction
- Higher is better
- Comparison cohort
- vals-code-migration:1:overall
- Source type
- independent-evaluator
- Evaluator
- Vals AI
- Status
- active
- Retrieved at
- 2026-09-04
- Methodology
- Source model ID: thinkingmachines/inkling. Source model name: Inkling. Evaluator: Vals AI. Dataset type: private. Leaderboard date: 2026-09-03. Latency in seconds: 1773.502. Cost per task in USD: 3.006967. Source ID: vals-ai. Evidence capture ID: vals-code-migration-2026-09-04-37e66450d0d6. Source payload hash: 37e66450d0d6f681e77c4fe9942f74c0aa743078002f50aef50932407223f88f. Parser version: vals-astro-v2. Imported at: 2026-09-04
CorpFin v2: Overall (Show measurement, test conditions, and source)
- Source value
- 68.57
- Score
- 68.57
- Metric
- accuracy
- Unit
- %
- Benchmark version
- 2
- Category
- finance
- Task
- overall
- Task label
- Overall
- Direction
- Higher is better
- Comparison cohort
- vals-corp-fin-v2:2:overall
- Source type
- independent-evaluator
- Evaluator
- Vals AI
- Status
- active
- Retrieved at
- 2026-09-04
- Methodology
- Source model ID: thinkingmachines/inkling. Source model name: Inkling. Evaluator: Vals AI. Dataset type: private. Leaderboard date: 2026-08-12. Latency in seconds: 29.199. Cost per task in USD: 0.084258. Source ID: vals-ai. Evidence capture ID: vals-corp_fin_v2-2026-09-04-46dad6684551. Source payload hash: 46dad668455190ee4239b7c743d00d81c6fd3127e0d87123c518ec107c13b44d. Parser version: vals-astro-v2. Imported at: 2026-09-04
CyberBench: Overall (Show measurement, test conditions, and source)
- Source value
- 64.142
- Score
- 64.142
- Metric
- accuracy
- Unit
- %
- Benchmark version
- 1
- Category
- cybersecurity
- Task
- overall
- Task label
- Overall
- Direction
- Higher is better
- Comparison cohort
- vals-cyberbench:1:overall
- Source type
- independent-evaluator
- Evaluator
- Vals AI
- Status
- active
- Retrieved at
- 2026-09-04
- Methodology
- Source model ID: thinkingmachines/inkling. Source model name: Inkling. Evaluator: Vals AI. Dataset type: private. Leaderboard date: 2026-09-01. Latency in seconds: 1999.375. Cost per task in USD: 4.849956. Source ID: vals-ai. Evidence capture ID: vals-cyber-2026-09-04-1f2ccbbb4491. Source payload hash: 1f2ccbbb44916facd69dfb2438a519f5f3d925ca46d875f9418106aa5dafa6e8. Parser version: vals-astro-v2. Imported at: 2026-09-04
EMB: Overall (Show measurement, test conditions, and source)
- Source value
- 38.362
- Score
- 38.362
- Metric
- accuracy
- Unit
- %
- Benchmark version
- 1
- Category
- finance
- Task
- overall
- Task label
- Overall
- Direction
- Higher is better
- Comparison cohort
- vals-emb:1:overall
- Source type
- independent-evaluator
- Evaluator
- Vals AI
- Status
- active
- Retrieved at
- 2026-09-04
- Methodology
- Source model ID: thinkingmachines/inkling. Source model name: Inkling. Evaluator: Vals AI. Dataset type: private. Leaderboard date: 2026-09-03. Latency in seconds: 1581.835. Cost per task in USD: 1.671783. Source ID: vals-ai. Evidence capture ID: vals-emb-2026-09-04-5d630bb9b3a7. Source payload hash: 5d630bb9b3a7674ec91efa385ebf472ae6d8bb96c8db2fa2dd5af3e813e66155. Parser version: vals-astro-v2. Imported at: 2026-09-04
Finance Agent (v2): Overall (Show measurement, test conditions, and source)
- Source value
- 46.597
- Score
- 46.597
- Metric
- accuracy
- Unit
- %
- Benchmark version
- 2
- Category
- finance
- Task
- overall
- Task label
- Overall
- Direction
- Higher is better
- Comparison cohort
- vals-finance-agent-v2:2:overall
- Source type
- independent-evaluator
- Evaluator
- Vals AI
- Status
- active
- Retrieved at
- 2026-09-04
- Methodology
- Source model ID: thinkingmachines/inkling. Source model name: Inkling. Evaluator: Vals AI. Dataset type: private. Leaderboard date: 2026-09-03. Latency in seconds: 1082.125. Cost per task in USD: 0.996264. Source ID: vals-ai. Evidence capture ID: vals-fabv2-2026-09-04-88f92e979bb6. Source payload hash: 88f92e979bb632f19bdb1ae6ca2768ced7b2b2b915ea3aac1553be06fa197204. Parser version: vals-astro-v2. Imported at: 2026-09-04
GPQA Diamond: Overall (Show measurement, test conditions, and source)
- Source value
- 87.122
- Score
- 87.122
- Metric
- accuracy
- Unit
- %
- Benchmark version
- 1
- Category
- reasoning
- Task
- overall
- Task label
- Overall
- Direction
- Higher is better
- Comparison cohort
- vals-gpqa:1:overall
- Source type
- independent-evaluator
- Evaluator
- Vals AI
- Status
- active
- Retrieved at
- 2026-09-04
- Methodology
- Source model ID: thinkingmachines/inkling. Source model name: Inkling. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-09-01. Latency in seconds: 308.595. Cost per task in USD: 0.16589. Source ID: vals-ai. Evidence capture ID: vals-gpqa-2026-09-04-fc438726f0d8. Source payload hash: fc438726f0d8523d320f02d75ae372a3fa38b28b36f70fe318d119f55153560d. Parser version: vals-astro-v2. Imported at: 2026-09-04
LiveCodeBench v6: Overall (Show measurement, test conditions, and source)
- Source value
- 85.517
- Score
- 85.517
- Metric
- accuracy
- Unit
- %
- Benchmark version
- 1
- Category
- coding
- Task
- overall
- Task label
- Overall
- Direction
- Higher is better
- Comparison cohort
- vals-lcb:1:overall
- Source type
- independent-evaluator
- Evaluator
- Vals AI
- Status
- active
- Retrieved at
- 2026-09-04
- Methodology
- Source model ID: thinkingmachines/inkling. Source model name: Inkling. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-09-01. Latency in seconds: 257.712. Cost per task in USD: 0.153251. Source ID: vals-ai. Evidence capture ID: vals-lcb-2026-09-04-95ca83387127. Source payload hash: 95ca83387127df287e9a6d928c411c98c9b65b4cefeee46eb4008ca1521f5ed4. Parser version: vals-astro-v2. Imported at: 2026-09-04
Harvey's Legal Agent Benchmark: Overall · Task fully resolved (Show measurement, test conditions, and source)
- Source value
- 2.083
- Score
- 2.083
- Metric
- task resolution rate
- Unit
- %
- Benchmark version
- 1
- Category
- legal
- Task
- overall
- Task label
- Overall · Task fully resolved
- Direction
- Higher is better
- Comparison cohort
- vals-legal-agent-benchmark:1:overall
- Source type
- independent-evaluator
- Evaluator
- Vals AI
- Status
- active
- Retrieved at
- 2026-09-04
- Methodology
- Source model ID: thinkingmachines/inkling. Source model name: Inkling. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-09-03. Latency in seconds: 1103.634. Cost per task in USD: 1.252023. Source ID: vals-ai. Evidence capture ID: vals-hlab-2026-09-04-211eab6c865f. Source payload hash: 211eab6c865f7c6808000150de043c5f65dd420c200156b06c68b58057fbd685. Parser version: vals-astro-v2. Imported at: 2026-09-04
LegalBench: Overall (Show measurement, test conditions, and source)
- Source value
- 82.949
- Score
- 82.949
- Metric
- accuracy
- Unit
- %
- Benchmark version
- 1
- Category
- legal
- Task
- overall
- Task label
- Overall
- Direction
- Higher is better
- Comparison cohort
- vals-legal-bench:1:overall
- Source type
- independent-evaluator
- Evaluator
- Vals AI
- Status
- active
- Retrieved at
- 2026-09-04
- Methodology
- Source model ID: thinkingmachines/inkling. Source model name: Inkling. Evaluator: Vals AI. Dataset type: public. Leaderboard date: 2026-09-01. Latency in seconds: 23.142. Cost per task in USD: 0.013327. Source ID: vals-ai. Evidence capture ID: vals-legal_bench-2026-09-04-ff81649923fb. Source payload hash: ff81649923fb684ff37d5f557fd320ba5ab433927831065ed781a94548f480ef. Parser version: vals-astro-v2. Imported at: 2026-09-04
Legal Research Bench: Overall · All-pass (Show measurement, test conditions, and source)
- Source value
- 28.365
- Score
- 28.365
- Metric
- all-pass rate
- Unit
- %
- Benchmark version
- 1
- Category
- legal
- Task
- overall
- Task label
- Overall · All-pass
- Direction
- Higher is better
- Comparison cohort
- vals-legal-research:1:overall
- Source type
- independent-evaluator
- Evaluator
- Vals AI
- Status
- active
- Retrieved at
- 2026-09-04
- Methodology
- Source model ID: thinkingmachines/inkling. Source model name: Inkling. Evaluator: Vals AI. Dataset type: private. Leaderboard date: 2026-09-03. Latency in seconds: 869.377. Cost per task in USD: 0.494044. Source ID: vals-ai. Evidence capture ID: vals-legal_research-2026-09-04-80d740c3f3ef. Source payload hash: 80d740c3f3ef5ee9176f2a9280a1825407c4fa31cdf19be9b448989fcb3ee859. Parser version: vals-astro-v2. Imported at: 2026-09-04
MedCode: Overall (Show measurement, test conditions, and source)
- Source value
- 41.19
- Score
- 41.19
- Metric
- accuracy
- Unit
- %
- Benchmark version
- 1
- Category
- health
- Task
- overall
- Task label
- Overall
- Direction
- Higher is better
- Comparison cohort
- vals-medcode:1:overall
- Source type
- independent-evaluator
- Evaluator
- Vals AI
- Status
- active
- Retrieved at
- 2026-09-04
- Methodology
- Source model ID: thinkingmachines/inkling. Source model name: Inkling. Evaluator: Vals AI. Dataset type: private. Leaderboard date: 2026-09-03. Latency in seconds: 167.123. Cost per task in USD: 0.127025. Source ID: vals-ai. Evidence capture ID: vals-medcode-2026-09-04-c44942e3604f. Source payload hash: c44942e3604fa8eca13f660a1551cfa5ea9bbf9c67af141f41601402afceb569. Parser version: vals-astro-v2. Imported at: 2026-09-04
MedScribe: Overall (Show measurement, test conditions, and source)
- Source value
- 85.405
- Score
- 85.405
- Metric
- accuracy
- Unit
- %
- Benchmark version
- 1
- Category
- health
- Task
- overall
- Task label
- Overall
- Direction
- Higher is better
- Comparison cohort
- vals-medscribe:1:overall
- Source type
- independent-evaluator
- Evaluator
- Vals AI
- Status
- active
- Retrieved at
- 2026-09-04
- Methodology
- Source model ID: thinkingmachines/inkling. Source model name: Inkling. Evaluator: Vals AI. Dataset type: private. Leaderboard date: 2026-09-03. Latency in seconds: 244.954. Cost per task in USD: 0.165561. Source ID: vals-ai. Evidence capture ID: vals-medscribe-2026-09-04-c86df6ced023. Source payload hash: c86df6ced023af4a251d97cf5f91df5f06151cd899b2529a2256d12e0656995a. Parser version: vals-astro-v2. Imported at: 2026-09-04
Our model tests
Community tests you can inspect
Compare how the models respond to the same prompt. Each test shows the first attempt, with no subsequent fixes to the generated code. These results do not contribute to an overall score.
Pelican on a bicycle
A community classic for free-form SVG drawing.
Prompt and test conditions
Generate an SVG of a pelican riding a bicycle
Token limit including reasoning: 8,192 tokens
Task origin (Simon Willison)Profile
Specifications and access
Published information about this model. Existing estimates are explicitly labeled.
Additional source observations
Dated documentation and model-card observations. Provider limits, native context and extended context can differ. Configuration notes retain the source wording.
- License
- Apache-2.0Source
- Release
- 2026-07-15Source
- Parameters
- 975 BSource
- Active parameters
- 41 BSource
- Architecture
- 66-layer decoder-only transformer with sparse MoE, 6 of 256 routed experts plus 2 shared experts, hybrid local/global attentionSource
- Input
- Text, Image, AudioSource
- Output
- TextSource
- Languages
- English, multilingualSource
- Reasoning mode
- reasoning evaluations at effort=0.99Source
- Tool calling
- YesSource
Pricing
Published prices
Prices apply to the stated unit. Resolution, output length, and provider can change the cost.
Cost example
100 API requests
$0.3025
100 requests with 1,000 input and 500 output tokens each calculate to $0.3025. Input accounts for $0.1; output accounts for $0.2025.
- Input price
- $1 / 1M tokensBase tier for each request
- Output price
- $4.05 / 1M tokensBase tier for each request
The calculation uses documented token prices and no cache discount. It excludes extra tools, tax, reasoning tokens, and further hidden output tokens.
Open sourceHead-to-head comparisons
Compare this model
Each matchup compares this model with exactly one other model from the same category.
There are no published direct comparisons for this model yet.
Evidence
Sources and data date
Every statement links to its underlying documentation or leaderboard.
- Speed
Thinking Machines. Output speed after the first streaming chunk, not total response time. Retrieved September 8, 2026.
- Price
Base API prices without caching or batch discounts. Higher context tiers and other rates are listed under Costs.
- Input
Documented modalities. Retrieved September 8, 2026.
- Output
Documented modalities. Retrieved September 8, 2026.
Research date September 8, 2026. 3 source URLs checked. This documents the inspected sources, not an exhaustive inventory of every publication.
Open evidence questions and research notes (original wording)
Not found in the inspected sources
knowledge-cutoff. The exact Inkling card says knowledge is limited by a training cutoff but does not publish the cutoff date.
- Model metadata (retrieved September 8, 2026)Source
- API pricingSource
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Vals AI (retrieved September 4, 2026)Source
- Artificial Analysis (retrieved September 8, 2026)Source
- Speed measurement methodologySource