o3-pro vs Inkling
At a Glance
| Compare |  o3-proOpenAI | InklingThinking Machines Lab |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #34 of 4645.4 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #18 of 44$0.090 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #28 of 3848.1 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $20.00Openai ↗ · Sep 3, 2026 | $0.95Deepinfra ↗ · Sep 21, 2026 |
| Output priceFrom · USD / 1M tokens | $80.00Openai ↗ · Sep 3, 2026 | $4.05Deepinfra ↗ · Sep 21, 2026 |
| Context windowMaximum documented tokens | 200K | 1,049K |
| Model facts checked | Sep 3, 2026View model evidence → | Sep 3, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | o3-pro | Inkling |
|---|---|---|
| Developer | OpenAI | Thinking Machines Lab |
| Family | O3 | Inkling |
| Model | o3-pro | Inkling |
| Version | o3-pro | Inkling |
| Lifecycle | active | active |
| Released | 2025-06-10 | 2026-07-15 |
| Knowledge cutoff | 2024-06-01 | Unknown |
| Input modalities | Text, Image | Text, Image, Video, Audio |
| Output modalities | Text | Text |
| Context window | 200K | 1,049K |
| Total parameters | Unknown | 975B |
| Active parameters | Unknown | 41B |
| License | Unknown | apache-2.0 |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Openai (Standard), Openrouter (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | agents, chat, coding, generation, reasoning, tools, vision |
o3-pro Capabilities
Inkling Capabilities
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Primary Evidence
Sources and Freshness
Questions
o3-pro vs Inkling FAQs
Is o3-pro or Inkling better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both o3-pro and Inkling, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, o3-pro or Inkling?+
o3-pro is $20.00 and Inkling is $0.95 per million tokens, so Inkling is cheaper on this metric. o3-pro is $80.00 and Inkling is $4.05 per million tokens, so Inkling is cheaper on this metric.
Which has a larger context window, o3-pro or Inkling?+
Inkling has the larger sourced context window. o3-pro supports 200K and Inkling supports 1,049K.
Which performs better in benchmarks, o3-pro or Inkling?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can o3-pro or Inkling be self-hosted?+
Inkling is the only model in this pair currently marked as self-hostable. o3-pro is not marked open weight; Inkling is open weight.
Can o3-pro and Inkling understand images?+
o3-pro is documented with image input; Inkling is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, o3-pro or Inkling?+
Neither has a larger sourced maximum output. o3-pro is 100K and Inkling is —.
Do o3-pro and Inkling support reasoning and tool use?+
o3-pro: reasoning, tool calling, and image input. Inkling: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, o3-pro or Inkling?+
o3-pro has 2 sourced provider routes; Inkling has 4, so Inkling has broader tracked availability.
Which offers better value, o3-pro or Inkling?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.