Claude Sonnet 5 vs Llama 4 Maverick 17B 128E Instruct

At a Glance

Compare
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5#26 of 4660.1 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 40.0–73.4UnrankedNot in the 46-model eligible cohort
CostLower is better · Published-token output estimate#29 of 44$0.194 per LiveBench caseUnrankedNot in the 44-model eligible cohort
EfficiencyHigher is better · MM Efficiency v1.5#30 of 3847.4 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 37.4–54.0UnrankedNot in the 38-model eligible cohort
Pricing and Limits
Input priceFrom · USD / 1M tokens$2.00Anthropic · Sep 3, 2026$0.1875Openrouter · Sep 22, 2026
Output priceFrom · USD / 1M tokens$10.00Anthropic · Sep 3, 2026$0.6525Openrouter · Sep 22, 2026
Context windowMaximum documented tokens1,000K1,000K
Model facts checkedAug 28, 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 Sonnet 5Llama-4-Maverick-17B-128E-Instruct
LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader1,442.15100% of row best · rating · claude-sonnet-5-high; 95% CI [1437.57467941, 1446.71829948]; votes 35301; rank 621,287.1789% of row best · rating · llama-4-maverick-17b-128e-instruct; 95% CI [1282.91290700, 1291.42929740]; votes 39359; rank 247
LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · leader1,277.16100% of row best · rating · claude-sonnet-5-high; 95% CI [1269.57643110, 1284.74576666]; votes 10289; rank 321,141.5789% of row best · rating · llama-4-maverick-17b-128e-instruct; 95% CI [1132.52682180, 1150.61627536]; votes 6937; rank 106
ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified86.51100% of row best · points · Claude Sonnet 5 (max effort) · 71,003 output tokens / case62.4572% of row best · points · Llama 4 Maverick · 1,154 output tokens / case
Overall ResultCounted from the protocol-matched rows above2 benchmark winsNo overall winner0 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

FieldClaude Sonnet 5Llama-4-Maverick-17B-128E-Instruct
DeveloperAnthropicMeta
FamilyClaude 5Llama 4 Maverick 17b 128e Instruct
ModelClaude Sonnet 5Llama-4-Maverick-17B-128E-Instruct
VersionClaude Sonnet 5Llama-4-Maverick-17B-128E-Instruct
Lifecycleactiveactive
Released2026-06-302025-04-05
Knowledge cutoffUnknownUnknown
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window1,000K1,000K
Total parametersUnknown401.6B
Active parametersUnknown17B
LicenseUnknownother
Open weightsNoYes
API availableYesYes
Self-hostableNoYes
Provider accessAnthropic (Standard), Deepinfra (Standard), Openrouter (Standard)Openrouter (Standard)
Capabilitieschat, generation, reasoning, toolschat, generation, tools

Claude Sonnet 5 Capabilities

chatgenerationreasoningtools
Serving providers3
Canonical IDanthropic/claude-sonnet-5

Llama 4 Maverick 17B 128E Instruct Capabilities

chatgenerationtools
Serving providers1
Canonical IDmeta-llama/Llama-4-Maverick-17B-128E-Instruct

Primary Evidence

Sources and Freshness

Questions

Claude Sonnet 5 vs Llama 4 Maverick 17B 128E Instruct FAQs

Is Claude Sonnet 5 or Llama 4 Maverick 17B 128E Instruct better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Claude Sonnet 5 and Llama 4 Maverick 17B 128E Instruct, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Claude Sonnet 5 or Llama 4 Maverick 17B 128E Instruct?+

Claude Sonnet 5 is $2.00 and Llama 4 Maverick 17B 128E Instruct is $0.1875 per million tokens, so Llama 4 Maverick 17B 128E Instruct is cheaper on this metric. Claude Sonnet 5 is $10.00 and Llama 4 Maverick 17B 128E Instruct is $0.6525 per million tokens, so Llama 4 Maverick 17B 128E Instruct is cheaper on this metric.

Which has a larger context window, Claude Sonnet 5 or Llama 4 Maverick 17B 128E Instruct?+

Neither model has a larger sourced context window in this comparison. Claude Sonnet 5 is 1,000K and Llama 4 Maverick 17B 128E Instruct is 1,000K.

Which performs better in benchmarks, Claude Sonnet 5 or Llama 4 Maverick 17B 128E Instruct?+

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

Can Claude Sonnet 5 or Llama 4 Maverick 17B 128E Instruct be self-hosted?+

Llama 4 Maverick 17B 128E Instruct is the only model in this pair currently marked as self-hostable. Claude Sonnet 5 is not marked open weight; Llama 4 Maverick 17B 128E Instruct is open weight.

Can Claude Sonnet 5 and Llama 4 Maverick 17B 128E Instruct understand images?+

Claude Sonnet 5 is documented with image input; Llama 4 Maverick 17B 128E Instruct is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Claude Sonnet 5 or Llama 4 Maverick 17B 128E Instruct?+

Neither has a larger sourced maximum output. Claude Sonnet 5 is 128K and Llama 4 Maverick 17B 128E Instruct is —.

Do Claude Sonnet 5 and Llama 4 Maverick 17B 128E Instruct support reasoning and tool use?+

Claude Sonnet 5: reasoning, tool calling, and image input. Llama 4 Maverick 17B 128E Instruct: tool calling and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Claude Sonnet 5 or Llama 4 Maverick 17B 128E Instruct?+

Claude Sonnet 5 has 3 sourced provider routes; Llama 4 Maverick 17B 128E Instruct has 1, so Claude Sonnet 5 has broader tracked availability.

Which offers better value, Claude Sonnet 5 or Llama 4 Maverick 17B 128E 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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