Claude Haiku 4.5 vs Claude Sonnet 4.6
At a Glance
| Compare | Claude Haiku 4.5Anthropic | Claude Sonnet 4.6Anthropic |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #43 of 469.0 score · 2/3 sources · provisional · missing LiveBench · full-core range 6.0–39.3 | #24 of 4660.3 score · 3/3 sources · complete |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #31 of 44$0.198 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #31 of 3847.3 score · 3/3 sources · complete |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $1.00Anthropic ↗ · Sep 3, 2026 | $3.00Anthropic ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | $5.00Anthropic ↗ · Sep 3, 2026 | $15.00Anthropic ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | 200K | 1,000K |
| 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 | Claude Haiku 4.5 | Claude Sonnet 4.6 |
|---|---|---|
| ARC-AGI-1verified-v1-ba05d69f6453 · verified_score · leader | 47.6755% of row best · percent · Claude Haiku 4.5 (Thinking 32K) | 86.50100% of row best · percent · Claude Sonnet 4.6 (High) |
| ARC-AGI-2verified-v2-6c676fa3e9af · verified_score · leader | 4.037% of row best · percent · Claude Haiku 4.5 (Thinking 32K) | 60.42100% of row best · percent · Claude Sonnet 4.6 (High) |
| LMArena Document Arenadocument-2026-09-13-d25aabda0010 · arena_rating · leader | 1,419.9796% of row best · rating · claude-haiku-4-5-20251001; 95% CI [1414.09579972, 1425.83505080]; votes 34677; rank 37 | 1,482.24100% of row best · rating · claude-sonnet-4-6; 95% CI [1476.36427265, 1488.10617859]; votes 57813; rank 11 |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,396.6496% of row best · rating · claude-haiku-4-5-20251001; 95% CI [1394.12644647, 1399.14715328]; votes 129278; rank 147 | 1,458.26100% of row best · rating · claude-sonnet-4-6; 95% CI [1454.67519650, 1461.85096774]; votes 66208; rank 35 |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 75.1590% of row best · points · Claude Haiku 4.5 · 10,996 output tokens / case | 83.63100% of row best · points · Claude Sonnet 4.6 · 18,675 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark wins | 4 benchmark winsOverall lead |
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 | Claude Haiku 4.5 | Claude Sonnet 4.6 |
|---|---|---|
| Developer | Anthropic | Anthropic |
| Family | Claude 4 5 | Claude 4 |
| Model | Claude Haiku 4.5 | Claude Sonnet 4.6 |
| Version | Claude Haiku 4.5 | Claude Sonnet 4.6 |
| Lifecycle | active | active |
| Released | 2025-10-15 | 2026-02-17 |
| Knowledge cutoff | Unknown | 2025-08-01 |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 200K | 1,000K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Anthropic (Standard), Deepinfra (Standard) | Anthropic (Standard), Deepinfra (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, reasoning, structured_outputs, tools |
Claude Haiku 4.5 Capabilities
Claude Sonnet 4.6 Capabilities
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Primary Evidence
Sources and Freshness
Questions
Claude Haiku 4.5 vs Claude Sonnet 4.6 FAQs
Is Claude Haiku 4.5 or Claude Sonnet 4.6 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Claude Haiku 4.5 and Claude Sonnet 4.6, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Claude Haiku 4.5 or Claude Sonnet 4.6?+
Claude Haiku 4.5 is $1.00 and Claude Sonnet 4.6 is $3.00 per million tokens, so Claude Haiku 4.5 is cheaper on this metric. Claude Haiku 4.5 is $5.00 and Claude Sonnet 4.6 is $15.00 per million tokens, so Claude Haiku 4.5 is cheaper on this metric.
Which has a larger context window, Claude Haiku 4.5 or Claude Sonnet 4.6?+
Claude Sonnet 4.6 has the larger sourced context window. Claude Haiku 4.5 supports 200K and Claude Sonnet 4.6 supports 1,000K.
Which performs better in benchmarks, Claude Haiku 4.5 or Claude Sonnet 4.6?+
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 Haiku 4.5 or Claude Sonnet 4.6 be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Claude Haiku 4.5 is not marked open weight; Claude Sonnet 4.6 is not marked open weight.
Can Claude Haiku 4.5 and Claude Sonnet 4.6 understand images?+
Claude Haiku 4.5 is documented with image input; Claude Sonnet 4.6 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Claude Haiku 4.5 or Claude Sonnet 4.6?+
Claude Sonnet 4.6 has the larger sourced maximum output: Claude Haiku 4.5 supports 64K and Claude Sonnet 4.6 supports 128K output tokens.
Do Claude Haiku 4.5 and Claude Sonnet 4.6 support reasoning and tool use?+
Claude Haiku 4.5: reasoning, tool calling, and image input. Claude Sonnet 4.6: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Claude Haiku 4.5 or Claude Sonnet 4.6?+
Claude Haiku 4.5 has 2 sourced provider routes; Claude Sonnet 4.6 has 2, a tie.
Which offers better value, Claude Haiku 4.5 or Claude Sonnet 4.6?+
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.