Llama 4 Scout 17B 16E Instruct vs Grok 4.3

At a Glance

Compare
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5UnrankedNot in the 46-model eligible cohort#40 of 4616.6 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 11.1–44.4
CostLower is better · Published-token output estimateUnrankedNot in the 44-model eligible cohort#7 of 44$0.028 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.5UnrankedNot in the 38-model eligible cohort#33 of 3846.0 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 43.3–59.9
Pricing and Limits
Input priceFrom · USD / 1M tokens$0.10Deepinfra · Sep 22, 2026$1.25Xai · Sep 3, 2026
Output priceFrom · USD / 1M tokens$0.30Deepinfra · Sep 22, 2026$2.50Xai · Sep 3, 2026
Context windowMaximum documented tokens10,000K1,000K
Model facts checkedAug 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

All benchmark results →
BenchmarkLlama-4-Scout-17B-16E-InstructGrok 4.3
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,279.2992% of row best · rating · llama-4-scout-17b-16e-instruct; 95% CI [1274.57681953, 1284.00026285]; votes 29740; rank 2591,397.73100% of row best · rating · grok-4.3; 95% CI [1394.01930088, 1401.44639527]; votes 66801; rank 145
LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · leader1,117.8091% of row best · rating · llama-4-scout-17b-16e-instruct; 95% CI [1108.35603674, 1127.24229078]; votes 6466; rank 1141,229.47100% of row best · rating · grok-4.3; 95% CI [1223.17337452, 1235.75913440]; votes 22688; rank 67
ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified47.3263% of row best · points · Llama 4 Scout · 696 output tokens / case74.91100% of row best · points · Grok 4.3 (high) · 5,154 output tokens / case
Overall ResultCounted from the protocol-matched rows above0 benchmark winsNo overall winner2 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

FieldLlama-4-Scout-17B-16E-InstructGrok 4.3
DeveloperMetaxAI
FamilyLlama 4 Scout 17b 16e InstructGrok 4
ModelLlama-4-Scout-17B-16E-InstructGrok 4.3
VersionLlama-4-Scout-17B-16E-InstructGrok 4.3
Lifecycleactiveactive
Released2025-04-052026-06-17
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window10,000K1,000K
Total parameters108.6BUnknown
Active parameters17BUnknown
LicenseotherUnknown
Open weightsYesNo
API availableYesYes
Self-hostableYesNo
Provider accessDeepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)Xai (Standard)
Capabilitieschat, generation, toolschat, generation, reasoning, structured_outputs, tools

Llama 4 Scout 17B 16E Instruct Capabilities

chatgenerationtools
Serving providers4
Canonical IDmeta-llama/Llama-4-Scout-17B-16E-Instruct

Grok 4.3 Capabilities

chatgenerationreasoningstructured outputstools
Serving providers1
Canonical IDxai/grok-4.3

Primary Evidence

Sources and Freshness

Questions

Llama 4 Scout 17B 16E Instruct vs Grok 4.3 FAQs

Is Llama 4 Scout 17B 16E Instruct or Grok 4.3 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Llama 4 Scout 17B 16E Instruct and Grok 4.3, 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 Grok 4.3?+

Llama 4 Scout 17B 16E Instruct is $0.10 and Grok 4.3 is $1.25 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 Grok 4.3 is $2.50 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 Grok 4.3?+

Llama 4 Scout 17B 16E Instruct has the larger sourced context window. Llama 4 Scout 17B 16E Instruct supports 10,000K and Grok 4.3 supports 1,000K.

Which performs better in benchmarks, Llama 4 Scout 17B 16E Instruct or Grok 4.3?+

There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.

Can Llama 4 Scout 17B 16E Instruct or Grok 4.3 be self-hosted?+

Llama 4 Scout 17B 16E Instruct is the only model in this pair currently marked as self-hostable. Llama 4 Scout 17B 16E Instruct is open weight; Grok 4.3 is not marked open weight.

Can Llama 4 Scout 17B 16E Instruct and Grok 4.3 understand images?+

Llama 4 Scout 17B 16E Instruct is documented with image input; Grok 4.3 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 Grok 4.3?+

Neither has a larger sourced maximum output. Llama 4 Scout 17B 16E Instruct is — and Grok 4.3 is —.

Do Llama 4 Scout 17B 16E Instruct and Grok 4.3 support reasoning and tool use?+

Llama 4 Scout 17B 16E Instruct: tool calling and image input. Grok 4.3: 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 Grok 4.3?+

Llama 4 Scout 17B 16E Instruct has 4 sourced provider routes; Grok 4.3 has 1, so Llama 4 Scout 17B 16E Instruct has broader tracked availability.

Which offers better value, Llama 4 Scout 17B 16E Instruct or Grok 4.3?+

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.

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