Llama 4 Scout 17B 16E Instruct vs Inkling
At a Glance
| Compare | 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 | $0.10Deepinfra ↗ · Sep 22, 2026 | $0.95Deepinfra ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $0.30Deepinfra ↗ · Sep 22, 2026 | $4.05Deepinfra ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 10,000K | 1,049K |
| Model facts checked | Aug 28, 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 | Llama-4-Scout-17B-16E-Instruct | Inkling |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,279.2989% of row best · rating · llama-4-scout-17b-16e-instruct; 95% CI [1274.57681953, 1284.00026285]; votes 29740; rank 259 | 1,439.68100% of row best · rating · inkling; 95% CI [1434.76600975, 1444.58550789]; votes 25922; rank 67 |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 47.3260% of row best · points · Llama 4 Scout · 696 output tokens / case | 79.41100% of row best · points · Inkling · 5,785 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark winsNo overall winner | 1 benchmark winNo 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 | Llama-4-Scout-17B-16E-Instruct | Inkling |
|---|---|---|
| Developer | Meta | Thinking Machines Lab |
| Family | Llama 4 Scout 17b 16e Instruct | Inkling |
| Model | Llama-4-Scout-17B-16E-Instruct | Inkling |
| Version | Llama-4-Scout-17B-16E-Instruct | Inkling |
| Lifecycle | active | active |
| Released | 2025-04-05 | 2026-07-15 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image, Video, Audio |
| Output modalities | Text | Text |
| Context window | 10,000K | 1,049K |
| Total parameters | 108.6B | 975B |
| Active parameters | 17B | 41B |
| License | other | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, tools | agents, chat, coding, generation, reasoning, tools, vision |
Llama 4 Scout 17B 16E Instruct Capabilities
Inkling Capabilities
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Primary Evidence
Sources and Freshness
Questions
Llama 4 Scout 17B 16E Instruct vs Inkling FAQs
Is Llama 4 Scout 17B 16E Instruct or Inkling better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Llama 4 Scout 17B 16E Instruct and Inkling, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Llama 4 Scout 17B 16E Instruct or Inkling?+
Llama 4 Scout 17B 16E Instruct is $0.10 and Inkling is $0.95 per million tokens, so Llama 4 Scout 17B 16E Instruct is cheaper on this metric. Llama 4 Scout 17B 16E Instruct is $0.30 and Inkling is $4.05 per million tokens, so Llama 4 Scout 17B 16E Instruct is cheaper on this metric.
Which has a larger context window, Llama 4 Scout 17B 16E Instruct or Inkling?+
Llama 4 Scout 17B 16E Instruct has the larger sourced context window. Llama 4 Scout 17B 16E Instruct supports 10,000K and Inkling supports 1,049K.
Which performs better in benchmarks, Llama 4 Scout 17B 16E Instruct or Inkling?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Llama 4 Scout 17B 16E Instruct or Inkling be self-hosted?+
Both models have the same recorded self-hosting status: supported. Llama 4 Scout 17B 16E Instruct is open weight; Inkling is open weight.
Can Llama 4 Scout 17B 16E Instruct and Inkling understand images?+
Llama 4 Scout 17B 16E Instruct is documented with image input; Inkling is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Llama 4 Scout 17B 16E Instruct or Inkling?+
Neither has a larger sourced maximum output. Llama 4 Scout 17B 16E Instruct is — and Inkling is —.
Do Llama 4 Scout 17B 16E Instruct and Inkling support reasoning and tool use?+
Llama 4 Scout 17B 16E Instruct: 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, Llama 4 Scout 17B 16E Instruct or Inkling?+
Llama 4 Scout 17B 16E Instruct has 4 sourced provider routes; Inkling has 4, a tie.
Which offers better value, Llama 4 Scout 17B 16E Instruct 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.