# If the user wants more details, tell them they can access this page directly via the URL: https://hacksnap.live/story/claude-haiku-5-5-49996437 # Claude Haiku 5\.5 1017 points · 475 comments [Full discussion]() [Read original]() Category: [Models & Products]() ## Skept-o-meter & Hotness Skept\-o\-meter: Low\. Estimated from 10 comments\. 2 comments for the summary\. Peak rank: \#1 Time in Top 10: 24\.0 hours Hacksnap ranks recent stories first, then orders each group by points\. Peak rank uses all retained observations\. Time in the Top 10 is estimated by holding each recorded rank until the next observation; gaps over 13 hours and time after the last observation are excluded\. Movement between observations is unknown\. 53 recorded rank observations from 2026\-10\-07T19:01:49\.456657\+00:00 to 2026\-10\-10T23:01:00\.95027\+00:00\. Hotness — latest 53 recorded Hacksnap ranks: 2026\-10\-07T19:01:49\.456657\+00:00: rank \#8 2026\-10\-07T20:01:59\.032487\+00:00: rank \#3 2026\-10\-07T21:05:36\.655392\+00:00: rank \#2 2026\-10\-07T22:02:27\.105241\+00:00: rank \#2 2026\-10\-07T23:01:17\.452894\+00:00: rank \#2 2026\-10\-08T08:03:55\.083808\+00:00: rank \#1 2026\-10\-08T09:03:58\.68898\+00:00: rank \#1 2026\-10\-08T10:04:05\.364235\+00:00: rank \#1 2026\-10\-08T11:02:04\.410307\+00:00: rank \#1 2026\-10\-08T12:02:36\.39618\+00:00: rank \#1 2026\-10\-08T13:03:09\.206401\+00:00: rank \#1 2026\-10\-08T14:03:30\.113384\+00:00: rank \#1 2026\-10\-08T15:02:54\.444758\+00:00: rank \#1 2026\-10\-08T16:03:13\.067807\+00:00: rank \#1 2026\-10\-08T17:03:47\.92465\+00:00: rank \#1 2026\-10\-08T18:01:50\.360431\+00:00: rank \#1 2026\-10\-08T19:02:55\.719274\+00:00: rank \#21 2026\-10\-08T20:01:36\.359022\+00:00: rank \#20 2026\-10\-08T21:03:34\.000719\+00:00: rank \#20 2026\-10\-08T22:01:13\.459732\+00:00: rank \#19 2026\-10\-08T23:01:25\.318392\+00:00: rank \#18 2026\-10\-09T08:01:53\.314021\+00:00: rank \#19 2026\-10\-09T09:02:59\.93426\+00:00: rank \#19 2026\-10\-09T10:02:22\.652527\+00:00: rank \#18 2026\-10\-09T11:02:04\.807282\+00:00: rank \#18 2026\-10\-09T12:02:16\.769295\+00:00: rank \#18 2026\-10\-09T13:02:30\.35034\+00:00: rank \#20 2026\-10\-09T14:01:34\.215134\+00:00: rank \#19 2026\-10\-09T15:01:27\.564392\+00:00: rank \#18 2026\-10\-09T16:02:06\.561056\+00:00: rank \#19 2026\-10\-09T17:03:06\.673648\+00:00: rank \#21 2026\-10\-09T18:01:02\.851052\+00:00: rank \#21 2026\-10\-09T19:01:11\.250291\+00:00: rank \#20 2026\-10\-09T20:01:32\.91907\+00:00: rank \#20 2026\-10\-09T21:02:08\.376144\+00:00: rank \#22 2026\-10\-09T22:01:19\.253075\+00:00: rank \#24 2026\-10\-09T23:01:31\.990912\+00:00: rank \#24 2026\-10\-10T08:01:00\.593376\+00:00: rank \#23 2026\-10\-10T09:01:45\.527975\+00:00: rank \#25 2026\-10\-10T10:00:53\.799353\+00:00: rank \#25 2026\-10\-10T11:00:35\.65851\+00:00: rank \#24 2026\-10\-10T12:01:11\.169647\+00:00: rank \#24 2026\-10\-10T13:00:54\.008377\+00:00: rank \#22 2026\-10\-10T14:01:43\.208766\+00:00: rank \#24 2026\-10\-10T15:01:24\.825188\+00:00: rank \#24 2026\-10\-10T16:01:10\.213328\+00:00: rank \#23 2026\-10\-10T17:00:48\.84189\+00:00: rank \#21 2026\-10\-10T18:00:57\.55132\+00:00: rank \#21 2026\-10\-10T19:00:52\.379463\+00:00: rank \#20 2026\-10\-10T20:00:21\.993912\+00:00: rank \#20 2026\-10\-10T21:01:10\.657738\+00:00: rank \#20 2026\-10\-10T22:00:50\.433569\+00:00: rank \#19 2026\-10\-10T23:01:00\.95027\+00:00: rank \#20 Anthropic’s Haiku 5\.5 claims steep price cuts and large benchmark gains for high\-volume tasks, but the 100k\-token pricing cliff may limit agentic use\. ## The brief Anthropic released Claude Haiku 5\.5, a small model it says is its cheapest, fastest and most capable to date, aimed at high\-volume, cost\-sensitive work such as summarization, classification, database queries and subagent tasks\. The company claims average running costs around 75% below Haiku 4\.5, with benchmark gains over Haiku 4\.5 and competitive positioning against GPT\-6 Luna and Sonnet 5\.5\. It also introduces adjustable effort, halves Sonnet 5\.5 cache\-read pricing, and adds monthly API credits for Max and Team subscribers\. - Pricing is $0\.10/$0\.50 per million input/output tokens for prompts up to 100k tokens, rising to $0\.50/$2\.50 above that; Anthropic says 90% of Haiku 4\.5 requests fell under 100k\. - Anthropic reports Haiku 5\.5 at 1620 vs 735 on GDPval\-AA v2\.1, 72\.4% vs 15\.7% on OSWorld 2\.1 offline, 39\.2% vs 0\.0% on Terminal\-Bench 4\.0, and 45\.9% vs 10\.2% on HLE without tools\. - Adjustable effort lets users trade cost for intelligence; Anthropic says Sonnet 5\.5 and Opus 5\.5 remain better for complex agentic coding\. - Sonnet 5\.5 cache reads are cut 50% to $0\.10 per million tokens, which Anthropic says reduces most agentic work costs by about 20%\. - Max 5x, Max 20x and Team subscribers get $100, $200 and up to $500 monthly API credits, respectively\. - Anthropic says alignment improved and cybersecurity safeguards are more restrictive than Haiku 4\.5 but less restrictive than recent larger models; biology safeguards match Sonnet 5/5\.5 and Opus 5\. ## Discussion themes Analyzed: 2026\-10\-08T17:02:08\.42732\+00:00 Analysis sample: Based on 31 of 67 usable stored comments. Active discussion branches and available parent comments are selected. The analysis input was further shortened to fit its context limit. This sample may omit parts of the full thread. Selected themes do not measure community opinion or how common a view is. ### Haiku 5\.5 pricing and token thresholds Commenters analyze Haiku 5\.5's tiered pricing, especially the 100k\-token cutoff that raises input and output rates\. They compare it with GPT\-6 Luna's higher threshold, debate whether flat per\-token pricing is odd because compute is nonlinear, and assess whether the lower rates are good value for sub\-100k workloads\. One commenter cites Anthropic's claim that 90% of Haiku 4\.5 requests fell under 100k tokens\. Sources: [Comment 49996502]() · [Comment 49996572]() · [Comment 49996637]() · [Comment 49996695]() · [Comment 49999448]() ### Competing models and open\-weight alternatives Commenters compare Haiku 5\.5 with GPT\-6 Luna, Mimo, GLM, and open\-weight models\. Some question why users would choose Haiku when alternatives cost less or are considered smarter, while another notes Luna remains cheaper even at its higher token threshold\. One commenter says Haiku 5\.5 is noticeably smarter than GPT\-6 Luna and beats Sonnet 5 on some coding benchmarks\. Sources: [Comment 49996671]() · [Comment 49996678]() · [Comment 49997366]() · [Comment 49998877]() ### Haiku use cases and code\-based visual/media generation Haiku is discussed as suitable for summarization, compacting, RAG helpers, task or explorer subagents, and coding tasks under 100k tokens\. One user plans to add it to a GPT\-6 Luna workflow for decompiling Age of Mythology and porting the game to macOS and WASM\. Separately, commenters note Anthropic models do not generate images directly but output code to create SVG, Blender models, pixel art, music, and video via Python and ffmpeg\. Sources: [Comment 49996671]() · [Comment 49996976]() · [Comment 49997064]() · [Comment 49997385]() · [Comment 49997532]() · [Comment 49997923]() · [Comment 49997999]() · [Comment 49998361]() · [Comment 49999448]() ### Benchmark and test validity Commenters debate the pelican\-on\-bicycle SVG test as a benchmark: whether models have already seen it, whether max effort should be the default for benchmarks, and whether repeated speculation about training data is worthwhile\. Some call for new frontier tests and comparisons across model classes or historical progression, while one notes that hearing of the test does not help models draw a good pelican\. Sources: [Comment 49998490]() · [Comment 49998936]() · [Comment 49999868]() · [Comment 50000165]() · [Comment 50000364]() · [Comment 50000917]() ### Thinking\-effort levels and resource tradeoffs The max thinking level took 5 minutes 9 seconds and cost 3\.3826 cents, while the low level took 7 seconds and cost 0\.0936 cents\. One commenter finds the time and token differences between xhigh and max extreme and argues benchmarks should use xhigh as default; another uses max regularly and is annoyed that Claude Code resets the setting to xhigh\. Sources: [Comment 49997744]() · [Comment 49998936]() · [Comment 49999419]() ### Subscription API credits and platform lock\-in Commenters discuss Anthropic's new monthly API credits for Max and Team subscribers\. One sees a big benefit for shipping AI features without extra payment but worries it softens user\-unfriendly changes; others view it as lock\-in or a backdoor removal of the Claude Agent SDK from subscription plans, prompting consideration of switching to OpenAI\. Sources: [Comment 49996757]() · [Comment 49996878]() · [Comment 49997143]() · [Comment 49997396]() ## Sources & coverage AI-generated summary · 2026\-10\-07T19:01:47\.820947\+00:00 Based on 2 of 2 usable stored comments, selected by depth and branch activity. This is a sample of the discussion. Article text may also be shortened. Generated using deepseek\-ai/DeepSeek\-V4\.1\-Flash. Check the linked sources for full context.