Claude Opus 4.5 vs Inkling
At a Glance
| Compare | Claude Opus 4.5Anthropic | InklingThinking Machines Lab |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #27 of 4655.4 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 36.9–70.3 | #34 of 4645.4 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | #40 of 44$0.380 per LiveBench case | #18 of 44$0.090 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | #36 of 3838.0 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 28.8–45.4 | #28 of 3848.1 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $5.00Anthropic ↗ · Sep 3, 2026 | $0.95Deepinfra ↗ · Sep 21, 2026 |
| Output priceFrom · USD / 1M tokens | $25.00Anthropic ↗ · 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
| Benchmark | Claude Opus 4.5 | Inkling |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · statistical tie | 1,447.08100% of row best · rating · claude-opus-4-5-20251101-high-32k; 95% CI [1443.17965746, 1450.98398333]; votes 36239; rank 49 | 1,439.6899% of row best · rating · inkling; 95% CI [1434.76600975, 1444.58550789]; votes 25922; rank 67 |
| LiveBench2026-06-25 · overall · leader | 77.39100% of row best · percent · claude-opus-4-5-20251101-thinking-64k-high-effort · 15,203 output tokens / case | 76.4799% of row best · percent · inkling-xhigh · 22,213 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above · 1 tie | 1 benchmark winNo overall winner | 0 benchmark winsNo overall winner |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | Claude Opus 4.5 | Inkling |
|---|---|---|
| Developer | Anthropic | Thinking Machines Lab |
| Family | Claude 4 | Inkling |
| Model | Claude Opus 4.5 | Inkling |
| Version | Claude Opus 4.5 | Inkling |
| Lifecycle | active | active |
| Released | 2025-11-24 | 2026-07-15 |
| Knowledge cutoff | 2025-05-01 | 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 | Anthropic (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 |
Claude Opus 4.5 Capabilities
Inkling Capabilities
Related Comparisons
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|---|---|---|---|
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Claude Opus 4.5Anthropic | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
Claude Opus 4.5Anthropic | vs |  DeepSeek-V4.1-FlashDeepSeek | cross-developer peersimage, text |
Claude Opus 4.5Anthropic | vs | Grok 4.6xAI | cross-developer peersimage, text |
Claude Opus 4.5Anthropic | vs |  Qwen3.8-MaxQwen | cross-developer peersimage, text |
Claude Opus 4.5Anthropic | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | Claude Opus 4.5Anthropic | cross-developer peersimage, text |
Claude Opus 4.5Anthropic | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Claude Opus 4.5Anthropic | vs |  Hy4 previewTencent | cross-developer peerstext |
Claude Opus 4.5Anthropic | vs | Seed 2.1 ProByteDance Seed | cross-developer peersimage, text |
Claude Opus 4.5Anthropic | vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Claude Opus 4.5 vs Inkling FAQs
Is Claude Opus 4.5 or Inkling better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Opus 4.5 and Inkling, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Opus 4.5 or Inkling?+
Claude Opus 4.5 is $5.00 and Inkling is $0.95 per million tokens, so Inkling is cheaper on this metric. Claude Opus 4.5 is $25.00 and Inkling is $4.05 per million tokens, so Inkling is cheaper on this metric.
Which has a larger context window, Claude Opus 4.5 or Inkling?+
Inkling has the larger sourced context window. Claude Opus 4.5 supports 200K and Inkling supports 1,049K.
Which performs better in benchmarks, Claude Opus 4.5 or Inkling?+
There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.
Can Claude Opus 4.5 or Inkling be self-hosted?+
Inkling is the only model in this pair currently marked as self-hostable. Claude Opus 4.5 is not marked open weight; Inkling is open weight.
Can Claude Opus 4.5 and Inkling understand images?+
Claude Opus 4.5 is documented with image input; Inkling is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Claude Opus 4.5 or Inkling?+
Neither has a larger sourced maximum output. Claude Opus 4.5 is 64K and Inkling is —.
Do Claude Opus 4.5 and Inkling support reasoning and tool use?+
Claude Opus 4.5: 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, Claude Opus 4.5 or Inkling?+
Claude Opus 4.5 has 1 sourced provider route; Inkling has 4, so Inkling has broader tracked availability.
Which offers better value, Claude Opus 4.5 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.