vs
0:1
overall capability wins (0 ties across 1 scored). Claude Sonnet 5.5 leads overall.
- Pricing3:0
- Specs0:1
Verdict
Claude Sonnet 5.5 offers ~5.0x larger context (1M vs 200K); Claude Haiku 4.5 is ~2.0x cheaper on a blended token basis than Claude Sonnet 5.5.
- Claude Sonnet 5.5 offers ~5.0x larger context (1M vs 200K)
- Claude Haiku 4.5 is ~2.0x cheaper on a blended token basis than Claude Sonnet 5.5
Cost for 1M in + 250K out
Illustrative chat workload at primary-provider list prices.
- Claude Haiku 4.5
- $2.25
- Claude Sonnet 5.5
- $4.50
Claude Haiku 4.5 is about 2.0x cheaper on this workload.
Price per 1M tokens
Full comparison
Organization
Anthropic
Anthropic
Family
Claude Sonnet / Haiku
Claude Sonnet / Haiku
License
Proprietary
Proprietary
Open weights
No
No
Release
Oct 15, 2025
Sep 28, 2026
Knowledge cutoff
-
-
API / provider
Anthropic
Anthropic
Modalities
text, image → text
text, image → text
Specs
Context window
200K
1M
Max output
64K
-
Parameters
—
—
Pricing
Input $/1M
$1
$2
Output $/1M
$5
$10
Blended $/1M (3∶1)
$2
$4
Speed
tok/s
150
-
TTFT (s)
0.2
-
Reasoning
MMLU-Pro
—
—
GPQA Diamond
—
—
Humanity's Last Exam
—
—
AIME 2025
—
—
MATH-500
—
—
Humanity's Last Exam (with tools)
—
64.5
AA-Omniscience Accuracy
—
—
AA-LCR v1.1
—
—
CritPt
—
—
MMMU-Pro
—
—
IFBench
—
—
Chartography
—
61.6
Chartography (With Tools)
—
—
Coding
SWE-bench Verified
73.3
—
SWE-bench Pro
39.5
—
SWE-bench Multilingual
64.7
—
LiveCodeBench
—
—
Terminal-Bench 2.1
—
—
Aider Polyglot
—
—
Terminal-Bench 3
—
—
BigCodeBench
—
—
SciCode
—
—
CursorBench
—
—
SWE-Rebench
—
—
NL2Repo-Bench
—
—
DeepSWE
—
—
WebDev Arena
1,329
—
Terminal-Bench 4.0
—
70.6
CursorBench 4.0
—
55.5
FrontierCode v1.1 (Main)
—
52.1
Arena
LMArena Elo
1,415
—
| Metric | Claude Haiku 4.5 | Claude Sonnet 5.5 | Delta |
|---|---|---|---|
| Identity | |||
| Organization | Anthropic | Anthropic | — |
| Family | Claude Sonnet / Haiku | Claude Sonnet / Haiku | — |
| License | Proprietary | Proprietary | — |
| Open weights | No | No | — |
| Release | Oct 15, 2025 | Sep 28, 2026 | — |
| Knowledge cutoff | - | - | — |
| API / provider | Anthropic | Anthropic | — |
| Modalities | text, image → text | text, image → text | — |
| Specs | |||
| Context window | 200K | 1M | B +800K |
| Max output | 64K | - | — |
| Parameters | — | — | — |
| Pricing | |||
| Input $/1M | $1 | $2 | A +$1 |
| Output $/1M | $5 | $10 | A +$5 |
| Blended $/1M (3∶1) | $2 | $4 | A +$2 |
| Speed | |||
| tok/s | 150 | - | — |
| TTFT (s) | 0.2 | - | — |
| Reasoning | |||
| MMLU-Pro | — | — | — |
| GPQA Diamond | — | — | — |
| Humanity's Last Exam | — | — | — |
| AIME 2025 | — | — | — |
| MATH-500 | — | — | — |
| Humanity's Last Exam (with tools) | — | 64.5 | — |
| AA-Omniscience Accuracy | — | — | — |
| AA-LCR v1.1 | — | — | — |
| CritPt | — | — | — |
| MMMU-Pro | — | — | — |
| IFBench | — | — | — |
| Chartography | — | 61.6 | — |
| Chartography (With Tools) | — | — | — |
| Coding | |||
| SWE-bench Verified | 73.3 | — | — |
| SWE-bench Pro | 39.5 | — | — |
| SWE-bench Multilingual | 64.7 | — | — |
| LiveCodeBench | — | — | — |
| Terminal-Bench 2.1 | — | — | — |
| Aider Polyglot | — | — | — |
| Terminal-Bench 3 | — | — | — |
| BigCodeBench | — | — | — |
| SciCode | — | — | — |
| CursorBench | — | — | — |
| SWE-Rebench | — | — | — |
| NL2Repo-Bench | — | — | — |
| DeepSWE | — | — | — |
| WebDev Arena | 1,329 | — | — |
| Terminal-Bench 4.0 | — | 70.6 | — |
| CursorBench 4.0 | — | 55.5 | — |
| FrontierCode v1.1 (Main) | — | 52.1 | — |
| Arena | |||
| LMArena Elo | 1,415 | — | — |
Claude Haiku 4.5
- Context
- 200K / 64K out
- Parameters
- —
- Price
- $1 / $5
- Speed
- 150 tok/s · 0.2s TTFT
- Modalities
- text, image → text
- License
- Proprietary
Fast, affordable Claude tier for classification, routing, and lightweight assistants.
Claude Sonnet 5.5
- Context
- 1M
- Parameters
- —
- Price
- $2 / $10
- Speed
- —
- Modalities
- text, image → text
- License
- Proprietary
Anthropic's September 2026 Sonnet model for everyday coding, agentic work, and document creation. It supports text and image input, a 1M context window, and standard API rates of $2/$10 per 1M input/output tokens. Published benchmark results vary by effort and, for agent evaluations, harness; the cited Chartography score is no-tools.
Benchmark charts
Winner bars are emphasized. Per-benchmark deltas sit above each chart.
These two models have no overlapping published benchmarks in our dataset. Compare specs and pricing instead.