Claude Opus 4.5 vs Llama 4 Scout 17B 16E Instruct

At a Glance

Compare
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 36.9–70.3UnrankedNot in the 46-model eligible cohort
CostLower is better · Published-token output estimate#40 of 44$0.380 per LiveBench caseUnrankedNot in the 44-model eligible cohort
EfficiencyHigher is better · MM Efficiency v1.5#36 of 3838.0 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 28.8–45.4UnrankedNot in the 38-model eligible cohort
Pricing and Limits
Input priceFrom · USD / 1M tokens$5.00Anthropic · Sep 3, 2026$0.10Deepinfra · Sep 21, 2026
Output priceFrom · USD / 1M tokens$25.00Anthropic · Sep 3, 2026$0.30Deepinfra · Sep 21, 2026
Context windowMaximum documented tokens200K10,000K
Model facts checkedSep 3, 2026View model evidence →Aug 28, 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 →
BenchmarkClaude Opus 4.5Llama-4-Scout-17B-16E-Instruct
Berkeley Function Calling Leaderboardv4-ede5081a24bc · overall_accuracy · leader33.47100% of row best · percent · Claude-Opus-4-5-20251101 (Prompt)28.1384% of row best · percent · Llama-4-Scout-17B-16E-Instruct (FC)
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,447.08100% of row best · rating · claude-opus-4-5-20251101-high-32k; 95% CI [1443.17965746, 1450.98398333]; votes 36239; rank 491,279.2988% of row best · rating · llama-4-scout-17b-16e-instruct; 95% CI [1274.57681953, 1284.00026285]; votes 29740; rank 259
Overall ResultCounted from the protocol-matched rows above2 benchmark winsOverall lead0 benchmark wins

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

FieldClaude Opus 4.5Llama-4-Scout-17B-16E-Instruct
DeveloperAnthropicMeta
FamilyClaude 4Llama 4 Scout 17b 16e Instruct
ModelClaude Opus 4.5Llama-4-Scout-17B-16E-Instruct
VersionClaude Opus 4.5Llama-4-Scout-17B-16E-Instruct
Lifecycleactiveactive
Released2025-11-242025-04-05
Knowledge cutoff2025-05-01Unknown
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window200K10,000K
Total parametersUnknown108.6B
Active parametersUnknown17B
LicenseUnknownother
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessAnthropic (Standard)Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard)
Capabilitieschat, generation, reasoning, structured_outputs, toolschat, generation, tools

Claude Opus 4.5 Capabilities

chatgenerationreasoningstructured outputstools
Serving providers1
Canonical IDanthropic/claude-opus-4-5

Llama 4 Scout 17B 16E Instruct Capabilities

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

Primary Evidence

Sources and Freshness

Questions

Claude Opus 4.5 vs Llama 4 Scout 17B 16E Instruct FAQs

Is Claude Opus 4.5 or Llama 4 Scout 17B 16E Instruct better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Claude Opus 4.5 and Llama 4 Scout 17B 16E Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Claude Opus 4.5 or Llama 4 Scout 17B 16E Instruct?+

Claude Opus 4.5 is $5.00 and Llama 4 Scout 17B 16E Instruct is $0.10 per million tokens, so Llama 4 Scout 17B 16E Instruct is cheaper on this metric. Claude Opus 4.5 is $25.00 and Llama 4 Scout 17B 16E Instruct is $0.30 per million tokens, so Llama 4 Scout 17B 16E Instruct is cheaper on this metric.

Which has a larger context window, Claude Opus 4.5 or Llama 4 Scout 17B 16E Instruct?+

Llama 4 Scout 17B 16E Instruct has the larger sourced context window. Claude Opus 4.5 supports 200K and Llama 4 Scout 17B 16E Instruct supports 10,000K.

Which performs better in benchmarks, Claude Opus 4.5 or Llama 4 Scout 17B 16E Instruct?+

Claude Opus 4.5 leads the current overall benchmark count. The result uses 2 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.

Can Claude Opus 4.5 or Llama 4 Scout 17B 16E Instruct be self-hosted?+

Llama 4 Scout 17B 16E Instruct is the only model in this pair currently marked as self-hostable. Claude Opus 4.5 is not marked open weight; Llama 4 Scout 17B 16E Instruct is open weight.

Can Claude Opus 4.5 and Llama 4 Scout 17B 16E Instruct understand images?+

Claude Opus 4.5 is documented with image input; Llama 4 Scout 17B 16E Instruct is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Claude Opus 4.5 or Llama 4 Scout 17B 16E Instruct?+

Neither has a larger sourced maximum output. Claude Opus 4.5 is 64K and Llama 4 Scout 17B 16E Instruct is —.

Do Claude Opus 4.5 and Llama 4 Scout 17B 16E Instruct support reasoning and tool use?+

Claude Opus 4.5: reasoning, tool calling, and image input. Llama 4 Scout 17B 16E Instruct: tool calling and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Claude Opus 4.5 or Llama 4 Scout 17B 16E Instruct?+

Claude Opus 4.5 has 1 sourced provider route; Llama 4 Scout 17B 16E Instruct has 4, so Llama 4 Scout 17B 16E Instruct has broader tracked availability.

Which offers better value, Claude Opus 4.5 or Llama 4 Scout 17B 16E Instruct?+

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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