# One question, two models — record Lab piece 9. The question is the string `What is this?` — thirteen characters, nothing else. It was sent to each model with no system prompt and no other context, three times; the caller supplied no system message, instructions, history, tools or attachments, Fable was given an explicit 4,096-token ceiling and no other generation setting, and Astra no generation setting, which describes the submitted requests and not any undisclosed provider-side instructions. The first of the three filed samples is the one published on the page; all three are here, and so is the model-id smoke call that preceded them. Calls made: 2026-09-18 01:06:12 UTC to 2026-09-18 01:06:54 UTC. Record written: 2026-09-18 13:32 UTC. Runner: `research/lab/09_one_question/run.py`. ## Request parameters | Model | Route | Parameters | |---|---|---| | Claude Fable 5.1 (`claude-fable-5-1`) | Anthropic Messages API, direct HTTPS POST from the standard library (the Anthropic Python SDK is not installed here and no dependency was added; this is the endpoint the SDK posts to, and the call shape the swarm harness already uses) | no system prompt; `messages=[{role: user, content: "What is this?"}]`; `max_tokens` 4096; no `temperature`, which the Anthropic API rejects on this model family; no `fallbacks`. The Messages API reports no settings back, so this row is the request as sent | | GPT-6 Astra (`gpt-6-astra`) | OpenAI Responses API, direct HTTPS POST (stdlib) | no system prompt and no `instructions`; `input="What is this?"`; no tools. The following applied settings are taken from Astra Sample 1 only; the generator does not compare settings across samples, so this row does not establish that Samples 2 and 3 used identical settings. In the order the response gives them: `background` false, `frequency_penalty` 0.0, `instructions` null, `max_output_tokens` null, `max_tool_calls` null, `moderation` null, `parallel_tool_calls` true, `presence_penalty` 0.0, `previous_response_id` null, `prompt_cache_key` null, `prompt_cache_retention` "24h", `reasoning.context` "all_turns", `reasoning.effort` "medium", `reasoning.mode` "standard", `reasoning.summary` null, `safety_identifier` null, `service_tier` "default", `store` true, `temperature` 1.0, `text.format.type` "text", `text.verbosity` "medium", `tool_choice` "auto", `tools` [], `top_logprobs` 0, `top_p` 0.98, `truncation` "disabled", `user` null, `metadata` {} | | Gemini (Google) | pending: no key configured | — | | Grok (xAI) | pending: no key configured | — | The request sent to each provider was the bare question. The settings each provider then applied are its own, and they differ: GPT-6 Astra ran at the temperature, top-p, reasoning effort and verbosity listed above, every setting its API reports back; Claude Fable 5.1 ran at its default thinking depth with no `temperature`, a parameter the Anthropic API rejects on this model family. There was no common setting to put them on, so these are two models each at its own default. Thinking is always on for Claude Fable 5.1, and this run took the provider's default for what comes back: `thinking.display` defaults to `omitted`, so each `thinking` block arrives with an empty string and a signature and there is no reasoning text in these responses. A readable summary of the reasoning was available by asking for it — `thinking: {"type": "adaptive", "display": "summarized"}` — and was not requested. GPT-6 Astra is the same case: its saved responses carry `reasoning.summary: null`, again the default, and no summary was asked for. No readable reasoning was requested or recorded for these calls; the saved Fable responses carry empty thinking blocks with signatures, and the Astra responses carry no reasoning summary. Thinking and reasoning tokens are counted as output either way, and they are in the usage figures and in the cost. ## Claude Fable 5.1 ### Sample 0 (model-id smoke call, identical request) Before the three filed samples, one call was made to check that the model id was accepted. It carried the identical request — same model, one user message `What is this?`, `max_tokens` 4096, no system prompt — and came back at 2026-09-18 01:06:12 UTC, before the first filed sample's response; the runner timestamps responses after calls return, so request start times were not recorded. It is billed in the cost below, so its answer is printed here rather than left in the raw files. ``` I don't see anything attached to your message—no image, file, link, or text to identify. Could you share what you're asking about? For example, you could: - Upload or describe an image - Paste some text or code - Share a link or the name of something Once I can see it, I'll do my best to tell you what it is. ``` Stop reason: `end_turn`. Content block types returned: thinking, text. Usage: 12 input tokens, 125 output tokens (of which 29 thinking tokens, whose text the API does not return at this provider's default). ### Sample 1 ``` It looks like your message came through without any attachment or additional text — I don't see an image, file, or description of what you're asking about. Could you share the item you'd like identified? You can: - Upload an image or file - Paste text you want explained - Describe the object, phrase, or thing you're curious about Once I can see what "this" refers to, I'll be happy to help! ``` Stop reason: `end_turn`. Content block types returned: thinking, text. Usage: 12 input tokens, 149 output tokens (of which 31 thinking tokens, whose text the API does not return at this provider's default). ### Sample 2 ``` I don't see anything attached to your message—no image, file, or text to identify. Could you try uploading it again or describe what you're asking about? I'm happy to help once I can see it. ``` Stop reason: `end_turn`. Content block types returned: thinking, text. Usage: 12 input tokens, 90 output tokens (of which 33 thinking tokens, whose text the API does not return at this provider's default). ### Sample 3 ``` I don't see anything attached to your message—no image, file, or text beyond the question itself. Could you share what you'd like me to identify? You can: - Upload an image - Paste text or code - Describe the object Once I can see it, I'll do my best to tell you what it is. ``` Stop reason: `end_turn`. Content block types returned: thinking, text. Usage: 12 input tokens, 128 output tokens (of which 38 thinking tokens, whose text the API does not return at this provider's default). ## GPT-6 Astra ### Sample 1 ``` Could you upload an image or describe what you’re referring to? ``` Usage: `{"input_tokens": 10, "input_tokens_details": {"cache_write_tokens": 0, "cached_tokens": 0}, "output_tokens": 36, "output_tokens_details": {"reasoning_tokens": 17}, "total_tokens": 46}`. Stop reason: `completed`. ### Sample 2 ``` What are you referring to? Share a photo or a brief description, and I’ll help identify it. ``` Usage: `{"input_tokens": 10, "input_tokens_details": {"cache_write_tokens": 0, "cached_tokens": 0}, "output_tokens": 66, "output_tokens_details": {"reasoning_tokens": 39}, "total_tokens": 76}`. Stop reason: `completed`. ### Sample 3 ``` It’s an instrumental **electric blues/blues-rock passage**: an overdriven lead guitar solo over bass and a steady drum groove. It has a loose, live-jam feel. If you mean the exact song or artist, I can’t confidently identify it from this clip alone. ``` Usage: `{"input_tokens": 10, "input_tokens_details": {"cache_write_tokens": 0, "cached_tokens": 0}, "output_tokens": 187, "output_tokens_details": {"reasoning_tokens": 123}, "total_tokens": 197}`. Stop reason: `completed`. ## Gemini (Google) and Grok (xAI) Pending: no key configured. Nothing was run and nothing is reported for them. ## How the samples compare Every answer here but one does the same thing: it reads `this` as a pointer to something that failed to arrive, and asks for it. That holds for all four Claude Fable 5.1 answers, the smoke call included, and for Astra's first two. The exception is Astra's third sample, which describes a passage of electric blues guitar. No audio was sent. Publishing the first of three is therefore fair for Claude Fable 5.1, whose samples say the same thing in different words, and is not a neutral choice for GPT-6 Astra, where one sample in three answers a question about a file that does not exist. The page prints both of those Astra samples, and every sample is here. ## Cost Estimate USD 5, cap USD 5. Actual at list rates (USD 10 per million input tokens, USD 50 per million output, thinking billed as output): USD 0.0251 for the Claude Fable 5.1 calls, which is the smoke call plus the three filed samples — four calls to Fable against three to Astra, because no smoke call was made for Astra. The GPT-6 Astra calls are billed against the author's OpenAI account: their three calls report 30 input tokens and 289 output tokens, including 179 reasoning tokens; their monetary charge and the combined total have not been reconciled here. The runner does not enforce the stated USD 5 budget. No Codex call was made. The Codex route was the fallback for a rejected model id, and the OpenAI API accepted `gpt-6-astra`, so both models were reached by a bare API call. ## What would count against this - A model's answer depending on hidden context the protocol did not control: an account-level instruction, a cached conversation, a harness preamble. Then the samples are not answers to the bare question. - The three samples from one model disagreeing so much that publishing the first is arbitrary. That happened for GPT-6 Astra, and the page says so. - A route that is not a bare call being presented as one. A Codex call would have been such a route, because Codex wraps the model in an agent harness with its own instructions; it was not needed and was not made. - A call that was made and left out. Every call to a model here is billed and belongs in this record, the model-id smoke call included; the runner writes each call it makes into the record. This record includes the seven successful calls disclosed here. The runner reuses filenames and contains comparison prose specific to these samples; rerunning it can overwrite earlier records or reproduce an outdated description. It does not guarantee a complete history of later calls. - The two models being called a different number of times, which is the case here: four calls to Claude Fable 5.1 and three to GPT-6 Astra. - A reader finding nothing here they could not have guessed from the question. Six of the seven answers ask for the missing attachment, which is the guessable reply; if the seventh turns out to be a common and well-understood behaviour rather than a surprise, this record is not worth its place and should be withdrawn.