Claude Sonnet 4.6 vs Claude Sonnet 5

At a Glance

Compare
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v4.4UnrankedNot in the 57-model eligible cohort#18 of 5763.1 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 42.1–75.4
CostLower is better · Published-token output estimateUnrankedNot in the 27-model eligible cohort#20 of 27$0.194 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.9UnrankedNot in the 27-model eligible cohort#21 of 2743.5 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 33.0–49.6
Pricing and Limits
Input priceFrom · USD / 1M tokens$3.00Anthropic ↗ · Sep 3, 2026$2.00Anthropic ↗ · Sep 3, 2026
Output priceFrom · USD / 1M tokens$15.00Anthropic ↗ · Sep 3, 2026$10.00Anthropic ↗ · Sep 3, 2026
Context windowMaximum documented tokens1,000K1,000K
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 Sonnet 4.6Claude Sonnet 5
LMArena Document Arenadocument-2026-09-13-a64ca3b12b6e · arena_rating · leader1,482.24100% of row best · rating · claude-sonnet-4-6; 95% CI [1476.36427265, 1488.10617859]; votes 57813; rank 111,466.1499% of row best · rating · claude-sonnet-5-high; 95% CI [1458.49407458, 1473.77896309]; votes 7411; rank 17
LMArena Text Arenatext-2026-10-15-a64ca3b12b6e · arena_rating · leader1,457.87100% of row best · rating · claude-sonnet-4-6; 95% CI [1454.37156748, 1461.36302648]; votes 70931; rank 411,442.1299% of row best · rating · claude-sonnet-5-high; 95% CI [1438.01344792, 1446.22951308]; votes 49595; rank 72
LMArena Vision Arenavision-2026-10-09-a64ca3b12b6e · arena_rating · statistical tie1,282.47100% of row best · rating · claude-sonnet-4-6; 95% CI [1276.33534417, 1288.60341882]; votes 27422; rank 341,273.9299% of row best · rating · claude-sonnet-5-high; 95% CI [1267.02186706, 1280.81063637]; votes 13503; rank 41
LiveBench2026-06-25-90f8d44da965 · overall · leader77.1196% of row best · percent · claude-sonnet-4-6-thinking-auto-medium-effort · 13,226 output tokens / case80.01100% of row best · percent · claude-sonnet-5-xhigh-effort · 19,428 output tokens / case
ToneBench2026-10-17-10-task-e9c76358afb2 · overall_score · unverified75.9996% of row best · points · Claude Sonnet 4.6 (high) · 41,616 output tokens / case79.21100% of row best · points · Claude Sonnet 5 (max effort) · 66,953 output tokens / case
Overall ResultCounted from the protocol-matched rows above · 1 tie2 benchmark winsOverall lead1 benchmark win

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 4.6Claude Sonnet 5
DeveloperAnthropicAnthropic
FamilyClaude 4Claude 5
ModelClaude Sonnet 4.6Claude Sonnet 5
VersionClaude Sonnet 4.6Claude Sonnet 5
Lifecycleactiveactive
Released2026-02-172026-06-30
Knowledge cutoff2025-08-01Unknown
Input modalitiesText, ImageText, Image
Output modalitiesTextText
Context window1,000K1,000K
Total parametersUnknownUnknown
Active parametersUnknownUnknown
LicenseUnknownUnknown
Open weightsNoNo
API availableYesYes
Self-hostableNoNo
Provider accessAnthropic (Standard), Deepinfra (Standard)Anthropic (Standard), Deepinfra (Standard), Openrouter (Standard)
Capabilitieschat, generation, reasoning, structured_outputs, toolschat, generation, reasoning, tools

Claude Sonnet 4.6 Capabilities

chatgenerationreasoningstructured outputstools
Serving providers2
Canonical IDanthropic/claude-sonnet-4-6

Claude Sonnet 5 Capabilities

chatgenerationreasoningtools
Serving providers3
Canonical IDanthropic/claude-sonnet-5

Primary Evidence

Sources and Freshness

Questions

Claude Sonnet 4.6 vs Claude Sonnet 5 FAQs

Is Claude Sonnet 4.6 or Claude Sonnet 5 better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both Claude Sonnet 4.6 and Claude Sonnet 5, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, Claude Sonnet 4.6 or Claude Sonnet 5?+

Claude Sonnet 4.6 is $3.00 and Claude Sonnet 5 is $2.00 per million tokens, so Claude Sonnet 5 is cheaper on this metric. Claude Sonnet 4.6 is $15.00 and Claude Sonnet 5 is $10.00 per million tokens, so Claude Sonnet 5 is cheaper on this metric.

Which has a larger context window, Claude Sonnet 4.6 or Claude Sonnet 5?+

Both models have the same sourced context window: 1,000,000 tokens each.

Which performs better in benchmarks, Claude Sonnet 4.6 or Claude Sonnet 5?+

Claude Sonnet 4.6 leads the current overall benchmark count. The result uses 4 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.

Can Claude Sonnet 4.6 or Claude Sonnet 5 be self-hosted?+

Both models have the same sourced self-hosting status: unsupported. Claude Sonnet 4.6 is not marked open weight; Claude Sonnet 5 is not marked open weight.

Can Claude Sonnet 4.6 and Claude Sonnet 5 understand images?+

Claude Sonnet 4.6 is documented with image input; Claude Sonnet 5 is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, Claude Sonnet 4.6 or Claude Sonnet 5?+

Both models have the same sourced maximum output: 128,000 tokens each.

Do Claude Sonnet 4.6 and Claude Sonnet 5 support reasoning and tool use?+

Claude Sonnet 4.6: reasoning, tool calling, and image input. Claude Sonnet 5: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, Claude Sonnet 4.6 or Claude Sonnet 5?+

Claude Sonnet 4.6 has 2 sourced provider routes; Claude Sonnet 5 has 3, so Claude Sonnet 5 has broader tracked availability.

Which offers better value, Claude Sonnet 4.6 or Claude Sonnet 5?+

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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