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Anthropic · Released Oct 7, 2026

Claude Haiku 5.5

Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use. It succeeds Claude Haiku 4.5 with stronger coding, computer use, and...

ReasoningVision
  • Top 13%ProofBench
  • Top 14%OTIS Mock AIME
  • Top 17%Chess Puzzles
  • Top 18%CritPt
Compare in showdown → OpenRouter ↗ All Anthropic models
Released
Oct 7 2026
Context window
1M 128K out
Input / 1M tokens
$0.10
Output / 1M tokens
$0.50

Where to run it

35 providers compared

Included in OpenCode Go. Cheapest: Google, Claude Platform on AWS, Anthropic +28 more at $0.10 / $0.50 per 1M input / output tokens — 23% less than the priciest option.

ProviderInputOutputCache readContextMax outputUptimevs. best
OpenCode Gosubscription plan Plan Plan Plan1M128K— Plan
Googleglobal $0.10 $0.50 $0.011M128K100%24h Cheapest
Claude Platform on AWS $0.10 $0.50 $0.011M128K100%24h Cheapest
Anthropic $0.10 $0.50 $0.011M128K100%24h Cheapest
Azureglobal $0.10 $0.50 $0.011M128K99.9%24h Cheapest
Amazon Bedrock $0.10 $0.50 $0.011M128K98.8%24h Cheapest
NanoGPT $0.10 $0.50 $0.011M128K— Cheapest
Cloudflare AI Gateway $0.10 $0.50 $0.011M128K— Cheapest
Venice AI $0.10 $0.50 $0.011M128K— Cheapest
Kilo Gateway $0.10 $0.50 $0.011M128K— Cheapest
Vercel AI Gateway $0.10 $0.50 $0.011M128K— Cheapest
LLM Gateway $0.10 $0.50 $0.011M128K— Cheapest
AIHubMix $0.10 $0.50 $0.011M128K— Cheapest
302.AI $0.10 $0.50 $0.011M128K— Cheapest
DigitalOcean $0.10 $0.50 $0.011M128K— Cheapest
GitHub Copilot $0.10 $0.50 $0.011M128K— Cheapest
Perplexity Agent $0.10 $0.50 $0.011M128K— Cheapest
Vertex $0.10 $0.50 $0.011M128K— Cheapest
Aixy $0.10 $0.50 $0.011M128K— Cheapest
Neon $0.10 $0.50 $0.011M128K— Cheapest
Azure Cognitive Services $0.10 $0.50 $0.011M128K— Cheapest
Vivgrid $0.10 $0.50 $0.011M128K— Cheapest
CrossModel $0.10 $0.50 $0.011M128K— Cheapest
DevPass (LLM Gateway) $0.10 $0.50 $0.011M128K— Cheapest
CommandCode $0.10 $0.50 $0.011M128K— Cheapest
Merge Gateway $0.10 $0.50 $0.011M128K— Cheapest
Ofox $0.10 $0.50 $0.011M128K— Cheapest
OpenCode $0.10 $0.50 $0.011M128K— Cheapest
NEAR AI Cloud $0.10 $0.50 $0.011M128K— Cheapest
Vertex (Anthropic) $0.10 $0.50 $0.011M128K— Cheapest
Eden AI $0.10 $0.50 $0.011M128K— Cheapest
Standard Compute $0.10 $0.50 $0.011M50K— Cheapest
Googleeurope $0.11 $0.55 $0.0111M128K100%24h +10%
Googleus $0.11 $0.55 $0.0111M128K100%24h +10%
Azureus $0.11 $0.55 $0.0111M128K100%24h +10%
Amazon Bedrockeu-west-1 $0.11 $0.55 $0.0111M128K100%24h +10%
Amazon Bedrockus-east-1 $0.11 $0.55 $0.0111M128K94.4%24h +10%
Requesty $0.11 $0.55 $0.021M128K— +10%
Cortecs $0.11 $0.56 $0.0111M128K— +13%
AI/ML API $0.13 $0.65 $0.0131M128K— +30%

Value

Price vs. performance

5 models score higher for the same price or lesson GPQA Diamond, e.g. GLM 5.2.
23.2%47.6%72.0%96.4% $0.001$0.01$0.10$1.00$10.00$100.00 DeepSeek V4.1 Flash 1017 (DeepSeek) — 93.2% · $0.15/1M in Gemini 4 Argon (Google) — 96.4% · $2.00/1M in Mistral Large 4 (Mistral) — 88.1% · $1.36/1M in GPT-6.1 Sol (OpenAI) — 95.4% · $2.00/1M in GPT-6 Luna (OpenAI) — 90.5% · $0.10/1M in GPT-6 Sol (OpenAI) — 94.3% · $2.00/1M in Grok 4.7 (xAI) — 92.7% · $2.00/1M in DeepSeek V4.1 Flash (DeepSeek) — 93.2% · $0.30/1M in GPT-6 Astra (OpenAI) — 95.8% · $10.00/1M in Qwen3.8 Max (0902) (Qwen) — 92.7% · $2.00/1M in Gemini 3.8 Flash (Google) — 95.4% · $0.82/1M in GLM 5.3 Flash (Z.ai) — 90.1% · $0.005/1M in GLM 5.3 (Z.ai) — 90.9% · $0.079/1M in Gemini 3.7 Flash (Google) — 94.8% · $0.75/1M in DeepSeek V4 Pro 0813 (DeepSeek) — 91.7% · $0.66/1M in Grok 4.6 (xAI) — 94.0% · $2.00/1M in DeepSeek V4 Flash 0731 (DeepSeek) — 91.0% · $0.44/1M in Qwen3.7 Flash (Qwen) — 82.3% · $0.03/1M in Gemini 3.6 Flash (Google) — 94.1% · $0.75/1M in Gemini 3.5 Flash Lite (Google) — 83.3% · $0.30/1M in Kimi K3 (Moonshot AI) — 93.1% · $0.24/1M in GPT-5.6 Luna (OpenAI) — 91.6% · $0.20/1M in GPT-5.6 Terra (OpenAI) — 93.3% · $2.00/1M in GPT-5.6 Sol (OpenAI) — 93.5% · $4.00/1M in Grok 4.5 (xAI) — 93.4% · $2.00/1M in GLM 5.2 (Z.ai) — 91.9% · $0.034/1M in Kimi K2.7 Code (Moonshot AI) — 87.9% · $0.67/1M in Qwen3.7 Plus (Qwen) — 87.9% · $0.32/1M in MiniMax M3 (MiniMax) — 90.9% · $0.30/1M in Qwen3.7 Max (Qwen) — 90.9% · $1.48/1M in Gemini 3.5 Flash (Google) — 92.8% · $1.50/1M in Gemini 3.1 Flash Lite (Google) — 81.8% · $0.25/1M in Grok 4.3 (xAI) — 88.8% · $1.25/1M in Qwen3.5 Plus 2026-04-20 (Qwen) — 84.9% · $0.30/1M in Qwen3.6 Flash (Qwen) — 83.3% · $0.19/1M in Qwen3.6 35B A3B (Qwen) — 84.9% · $0.10/1M in Qwen3.6 27B (Qwen) — 85.9% · $0.25/1M in GPT-5.5 (OpenAI) — 90.7% · $5.00/1M in DeepSeek V4 Pro 0423 (DeepSeek) — 91.7% · $0.45/1M in DeepSeek V4 Flash 0423 (DeepSeek) — 91.0% · $0.091/1M in Kimi K2.6 (Moonshot AI) — 90.8% · $0.65/1M in GLM 5.1 (Z.ai) — 89.9% · $1.40/1M in Gemma 4 26B A4B (Google) — 73.2% · $0.09/1M in Gemma 4 31B (Google) — 75.8% · $0.20/1M in Qwen3.6 Plus (Qwen) — 88.4% · $0.33/1M in GPT-5.4 Nano (OpenAI) — 78.5% · $0.20/1M in GPT-5.4 Mini (OpenAI) — 86.9% · $0.75/1M in Mistral Small 4 (Mistral) — 47.5% · $0.15/1M in Qwen3.5-9B (Qwen) — 79.0% · $0.08/1M in GPT-5.4 Pro (OpenAI) — 94.6% · $30.00/1M in GPT-5.4 (OpenAI) — 93.3% · $2.50/1M in Gemini 3.1 Flash Lite Preview (Google) — 81.8% · $0.25/1M in Qwen3.5-35B-A3B (Qwen) — 83.5% · $0.14/1M in Gemini 3.1 Pro Preview (Google) — 94.4% · $2.00/1M in Qwen3.5 397B A17B (Qwen) — 86.4% · $0.50/1M in GLM 5 (Z.ai) — 87.8% · $1.00/1M in GLM 4.7 Flash (Z.ai) — 60.5% · $0.061/1M in GLM 4.7 (Z.ai) — 83.3% · $0.54/1M in Gemini 3 Flash Preview (Google) — 89.4% · $0.50/1M in GPT-5.2 (OpenAI) — 91.4% · $1.75/1M in Ministral 3 8B 2512 (Mistral) — 27.2% · $0.15/1M in Ministral 3 3B 2512 (Mistral) — 25.3% · $0.10/1M in Mistral Large 3 2512 (Mistral) — 51.3% · $0.50/1M in GPT-5.1 (OpenAI) — 87.6% · $1.25/1M in GPT-5 (OpenAI) — 86.2% · $1.25/1M in GPT-5 Mini (OpenAI) — 75.0% · $0.25/1M in GPT-5 Nano (OpenAI) — 69.4% · $0.05/1M in gpt-oss-120b (OpenAI) — 75.8% · $0.15/1M in gpt-oss-20b (OpenAI) — 60.8% · $0.018/1M in Qwen3 30B A3B Instruct 2507 (Qwen) — 55.6% · $0.09/1M in Qwen3 235B A22B Thinking 2507 (Qwen) — 80.0% · $0.45/1M in Qwen3 235B A22B Instruct 2507 (Qwen) — 70.7% · $0.09/1M in Gemini 2.5 Pro (Google) — 85.3% · $1.25/1M in Gemini 2.5 Pro Preview 06-05 (Google) — 85.3% · $1.25/1M in R1 0528 (DeepSeek) — 76.3% · $0.50/1M in Qwen3 30B A3B (Qwen) — 61.7% · $0.12/1M in Qwen3 14B (Qwen) — 63.8% · $0.12/1M in Qwen3 32B (Qwen) — 65.7% · $0.08/1M in o3 (OpenAI) — 81.8% · $2.00/1M in o4 Mini (OpenAI) — 79.6% · $1.10/1M in GPT-4.1 (OpenAI) — 66.9% · $2.00/1M in GPT-4.1 Mini (OpenAI) — 65.8% · $0.40/1M in GPT-4.1 Nano (OpenAI) — 48.9% · $0.10/1M in Gemma 3 4B (Google) — 23.2% · $0.04/1M in Gemma 3 12B (Google) — 39.5% · $0.05/1M in Gemma 3 27B (Google) — 47.7% · $0.08/1M in Qwen-Plus (Qwen) — 48.1% · $0.26/1M in o3 Mini (OpenAI) — 77.0% · $1.10/1M in Phi 4 (Microsoft) — 56.1% · $0.07/1M in DeepSeek V3 (DeepSeek) — 71.2% · $0.26/1M in o1 (OpenAI) — 76.8% · $15.00/1M in Llama 3.3 70B Instruct (Meta) — 47.4% · $0.10/1M in GPT-4o (2024-11-20) (OpenAI) — 49.2% · $2.50/1M in Mistral Large 2407 (Mistral) — 51.3% · $2.00/1M in Llama 3.2 1B Instruct (Meta) — 23.9% · $0.027/1M in GPT-4o (2024-08-06) (OpenAI) — 49.2% · $2.50/1M in Llama 3.1 70B Instruct (Meta) — 44.2% · $0.40/1M in Llama 3.1 8B Instruct (Meta) — 27.0% · $0.05/1M in GPT-4o-mini (OpenAI) — 37.7% · $0.15/1M in GPT-4o-mini (2024-07-18) (OpenAI) — 37.7% · $0.15/1M in Gemma 2 27B (Google) — 36.5% · $0.65/1M in GPT-4o (OpenAI) — 49.2% · $2.50/1M in GPT-4o (2024-05-13) (OpenAI) — 49.2% · $5.00/1M in GPT-4 Turbo (OpenAI) — 46.6% · $10.00/1M in Mistral Large (Mistral) — 51.3% · $2.00/1M in GPT-3.5 Turbo (older v0613) (OpenAI) — 28.0% · $1.00/1M in GPT-3.5 Turbo (OpenAI) — 28.0% · $0.50/1M in GPT-4 (OpenAI) — 35.7% · $30.00/1M in Claude Sonnet 5.5 (Anthropic) — 95.6% · $2.00/1M in Claude Opus 5.5 (Anthropic) — 90.6% · $4.00/1M in Claude Opus 5 (Anthropic) — 93.9% · $5.00/1M in Claude Sonnet 5 (Anthropic) — 90.5% · $2.00/1M in Claude Fable 5 (Anthropic) — 85.9% · $10.00/1M in Claude Opus 4.8 (Anthropic) — 91.0% · $5.00/1M in Claude Opus 4.7 (Anthropic) — 90.1% · $5.00/1M in Claude Sonnet 4.6 (Anthropic) — 87.4% · $3.00/1M in Claude Opus 4.6 (Anthropic) — 90.5% · $5.00/1M in Claude Opus 4.5 (Anthropic) — 86.1% · $5.00/1M in Claude Haiku 4.5 (Anthropic) — 71.2% · $1.00/1M in Claude Sonnet 4.5 (Anthropic) — 82.3% · $3.00/1M in Claude Opus 4.1 (Anthropic) — 77.3% · $15.00/1M in Claude Haiku 5.5 (Anthropic) — 89.6% · $0.10/1M in Claude Haiku 5.5

Claude Haiku 5.5 Other Anthropic Other labs Value frontier · GPQA Diamond vs. input price per 1M tokens (log scale) · Drag to pan, pinch or Ctrl + scroll to zoom, double-click to zoom in.

Benchmarks

21 benchmark scores

BenchmarkScoreRankLeader
FrontierSWESoftware engineering · Ultra-long-horizon engineering tasks with a 20-hour budget each 43.8% #8of 19 GPT-6 Astra65.5%
CursorBenchSoftware engineering · Ambiguous multi-file tasks drawn from real Cursor sessions 48.4% #5of 16 Claude Opus 5.557.8%
FrontierCodeSoftware engineering · Mergeable fixes for hard open-source issues 46.4% #14of 41 Claude Opus 5.554.6%
SciCodeSoftware engineering · Research-coding problems from the natural sciences 55.0% #25of 102 Claude Opus 5.566.9%
WeirdML v3Software engineering · Unfamiliar ML and data tasks with vague goals 11.7% #11of 22 GPT-6 Astra42.2%
APEX-AgentsAgents & computer use · Long professional tasks in banking, consulting and law 56.1% #17of 51 Gemini 4 Argon82.4%
Vending-Bench 2Agents & computer use · Run a simulated vending business for a year (final balance) $3,602 #39of 61 GPT-6 Astra$15,515
SimpleQA VerifiedWriting & content · Factual accuracy on 1,000 short questions 23.8% #66of 79 Gemini 4 Argon76.0%
Blueprint-Bench 2Design & visual · Turn apartment photos into 2D floor plans 33.0% #13of 32 Gemini 4 Argon54.4%
Furniture AssemblyDesign & visual · Spot mistakes in photos of IKEA builds 47.5% #11of 34 Claude Opus 5.583.3%
GPQA DiamondReasoning & knowledge · PhD-level biology, chemistry and physics questions 89.6% #43of 122 Gemini 4 Argon96.4%
Humanity's Last ExamReasoning & knowledge · Expert questions across 100+ subjects 30.1% #11of 32 GPT-6 Astra54.8%
ARC-AGI-2Reasoning & knowledge · Few-shot abstract reasoning on grid puzzles 61.3% #30of 75 GPT-6 Astra95.0%
ARC-AGI-1Reasoning & knowledge · Pattern induction from input–output examples 89.0% #32of 75 Gemini 4 Argon98.5%
CritPtReasoning & knowledge · Open-ended, research-level physics problems 22.6% #19of 111 GPT-5.6 Sol32.3%
Chess PuzzlesReasoning & knowledge · Find the single best move in 100 new puzzles 55.0% #14of 83 GPT-6 Astra76.0%
LMCAReasoning & knowledge · Judge the quality of conceptual arguments like experts 51.1% #23of 123 Claude Sonnet 5.568.3%
FrontierMathMaths · Expert-written problems, undergrad to early research (tiers 1–3) 75.1% #19of 87 GPT-6.1 Sol93.7%
FrontierMath Tier 4Maths · Exceptionally hard research-level problems 46.3% #19of 64 GPT-6.1 Sol100.0%
ProofBenchMaths · Graduate maths proofs verified in Lean 4 89.0% #9of 70 Claude Sonnet 5.5100.0%
OTIS Mock AIMEMaths · Competition-style problems harder than MATH Level 5 98.9% #16of 120 Gemini 4 Argon100.0%

Specs

Details

Model ID
anthropic/claude-haiku-5.5
Developer
Anthropic
Release date
Oct 7, 2026 ·
Context window
1,000,000 tokens
Max output
128,000 tokens
API price
$0.10 / $0.50 per 1M input / output tokens
Providers
35
Input types
text, image, file
Reasoning
Yes
Tool calling
Yes
Open weights
No
Free tier
No

Release date and prices from OpenRouter's catalog; providers from OpenRouter and models.dev. Buying directly from a provider can cost a little differently. Speed, latency and uptime are measured on OpenRouter only; uptime is the share of OpenRouter requests each provider served over the last day. Benchmark scores are the best result per benchmark from Epoch AI, licensed CC BY 4.0. Rank counts every model tracked here with a score.