Head-to-head

Claude Haiku 4.5 logovsClaude Sonnet 5 logo

Claude Haiku 4.5 vs Claude Sonnet 5: which AI model wins in 2026?

Claude Haiku 4.5 ($5/1M out) and Claude Sonnet 5 ($15/1M out ($10 intro until 2026-08-31)) are two of the most-used AI models in 2026. Across 5 community votes, Claude Haiku 4.5 leads with 67% approval.

Quick verdict

On Reasoning, pick Claude Sonnet 5: the arena rates it 4.5/5 against 3/5 for Claude Haiku 4.5. On budget, Claude Haiku 4.5 wins: it starts at $5/1M out versus $15/1M out ($10 intro until 2026-08-31) for Claude Sonnet 5.

Line-by-line comparison

From
$5/1M outSingle tier: $1/1M input, $5/1M output; prompt cache reads $0.10/1M (5m writes $1.25/1M) and Batch API cuts 50% ($0.50/$2.50); no long-context surcharge (200K max).
$15/1M out ($10 intro until 2026-08-31)Single tier: $3/$15 per 1M tokens standard, $2/$10 introductory through Aug 31, 2026; Batch API -50%; new tokenizer yields roughly 30% more tokens per text (1.0-1.35x per Anthropic), raising effective cost.
Provider
Anthropic
Anthropic
Context window
200K tokens
1M tokens (128K max output)
Input price
$1/1M in
$3/1M in ($2 intro until 2026-08-31)
Output price
$5/1M out
$15/1M out ($10 intro until 2026-08-31)
Modalities
text, vision (input); text output
text, vision (image input, text output)
Open weights
No
No
Crowd score
67%(2)
57%(3)
Arena ratings (1-5)
Reasoning
3.0
4.5
Coding
3.5
4.5
Writing
3.0
4.5
Speed
4.5
4.0
Value
4.0
4.5

Strengths and weaknesses

Claude Haiku 4.5

  • 73.3% on SWE-bench Verified, about 90% of Sonnet 4.5's agentic coding at one third of the price
  • Fast: more than 2x Sonnet 4 speed per Anthropic, with launch customers reporting 4-5x faster than Sonnet 4.5; ~92-110 output tok/s measured by Artificial Analysis
  • Devs report precise, localized code edits that avoid touching irrelevant code, better than GPT-5 mini class in early testing
  • Supports both vision input and extended thinking, rare at this price tier at launch
  • Well suited as worker model in multi-agent setups (Sonnet/Opus plans, parallel Haiku sub-agents execute)
  • Prompt caching reads at $0.10/1M and 50% Batch API discount cut effective cost further
  • $5/1M output is pricey for a small model: Gemini Flash and GPT mini tiers undercut it several-fold on output-heavy tasks
  • 200K context (vs 1M for Sonnet 5/Opus siblings) and 64K max output limit large-codebase and long-output work
  • Mediocre cross-domain reasoning: users report weak results on GPQA, MedQA, MMMU style knowledge tasks
  • Throughput varies widely in practice (82-208 tok/s reported) and quality degrades on long 7-8+ minute agentic sessions
  • Knowledge cutoff (reliable to Feb 2025) is dated by mid-2026 standards

Claude Sonnet 5

  • Large agentic gains over Sonnet 4.6: Terminal-Bench 2.1 80.4% vs 67.0%, OSWorld-Verified 81.2% vs 78.5%, SWE-bench Pro 63.2% vs 58.1%
  • Matches Opus 4.8 on knowledge work (GDPval-AA v2: 1,618 vs 1,615) and nearly ties it on Humanity's Last Exam with tools (57.4% vs 57.9%) at 60% of Opus 4.8 pricing (40% during the intro window)
  • 1M token context window and 128K max output; introductory pricing of $2/$10 per 1M tokens through Aug 31, 2026
  • Persistent self-verifying agent behavior: hands-on reviews note it tests its own code and iterates on hard problems until solved, unlike Sonnet 4.6
  • First Sonnet with xhigh effort level and high-resolution vision (2576px images); adaptive thinking enabled by default
  • Higher code-review precision than Sonnet 4.6 (38-40% vs 29%), producing fewer false-positive findings
  • New tokenizer inflates token counts roughly 30% for the same text (1.0-1.35x per Anthropic; ~1.4x English, ~1.28x Python measured by Simon Willison), raising effective cost despite the unchanged sticker price
  • Verbose and token-hungry: ~$2.29 per task vs ~$1.20 for Sonnet 4.6 in independent tests (ranked 101st of 161 for cost efficiency); at high effort cost-per-task can exceed Opus 4.8
  • Measurably slower than Sonnet 4.6 on small routine edits and prone to over-engineering simple tasks (CodeRabbit hands-on review)
  • Sampling parameters (temperature, top_p, top_k) removed; non-default values return a 400 error, breaking existing pipelines
  • Launch sentiment on HN/Reddit was mixed: the '5' label was seen as overpromising, and stricter cybersecurity safeguards can refuse benign security-adjacent work

Cast your verdict

One recommendation per tool per gladiator. It reshapes the crowd score everyone sees.

67%crowd score · 2
Claude Sonnet 5$15/1M out ($10 intro until 2026-08-31)
57%crowd score · 3

The arena’s verdict on Claude Haiku 4.5

Pick Haiku 4.5 if you are on the Anthropic stack and need near-Sonnet coding quality at low latency and a third of the price: it is a massive step up from Haiku 3.5 and excels as the worker model in multi-agent pipelines. It remains Anthropic's current small model as of July 2026, so it is the default cheap tier for Claude-based products. Avoid it for deep cross-domain reasoning, very large codebases (200K context cap), or pure cost-per-token shopping, where Gemini Flash and GPT mini tiers are now cheaper, and step up to Sonnet 5 when quality matters more than speed.

The arena’s verdict on Claude Sonnet 5

Choose Sonnet 5 if you run coding, terminal or computer-use agents and want near Opus 4.8 quality at Sonnet prices, especially during the $2/$10 intro window; it is a strict upgrade over Sonnet 4.6 at low and medium effort. Budget for the new tokenizer and its verbosity: real per-task costs run well above Sonnet 4.6, and at the highest effort levels Opus 4.8 can be the better deal per solved task. Avoid it for latency-sensitive small edits or pipelines that rely on temperature and top_p, which now error. Sonnet 4.6 remains the pragmatic pick for high-volume tiny-diff workloads.

What the crowd says

On Claude Haiku 4.5

Guardian of the Repo

The precise localized edits are the underrated feature. It fixes the line that needs fixing and leaves the rest alone. GPT mini class models keep rewriting half my file.

Champion of Vibes

Haiku 4.5 gives me about 90% of Sonnet agentic coding at a third of the price, and it is fast enough that edit loops feel instant. My default for quick fixes now.

On Claude Sonnet 5

Captain Churn

Cheap per token, pricey per task. Independent tests had it near $2.29 a task vs $1.20 on 4.6, and at high effort it can out-cost Opus 4.8. It will not stop talking.

Golden Thumbicus

Terminal-Bench going 67 to 80 over Sonnet 4.6 matches what I see. My CI-fix agent went from constant babysitting to mostly hands-off overnight.

Saint Deployus

Matches Opus 4.8 on knowledge work at 60% of the price, and the intro $2/$10 window makes it silly value. My research agent runs on Sonnet 5 now, zero regrets.

Frequently asked questions

Is Claude Haiku 4.5 better than Claude Sonnet 5?

The crowd currently sides with Claude Haiku 4.5: 67% recommend it, versus 57% for Claude Sonnet 5 (5 votes). On Reasoning, Claude Sonnet 5 rates higher (4.5/5 vs 3/5). The right pick depends on your use case. The line-by-line comparison on this page breaks down pricing, key specs and arena ratings.

Which is cheaper, Claude Haiku 4.5 or Claude Sonnet 5?

Claude Haiku 4.5 is cheaper: it starts at $5/1M out, while Claude Sonnet 5 starts at $15/1M out ($10 intro until 2026-08-31).

How much do Claude Haiku 4.5 and Claude Sonnet 5 cost per 1M tokens?

Claude Haiku 4.5: $1/1M in per 1M input tokens, $5/1M out per 1M output tokens. Claude Sonnet 5: $3/1M in ($2 intro until 2026-08-31) per 1M input tokens, $15/1M out ($10 intro until 2026-08-31) per 1M output tokens.