buildConfirmed2 publishers OpenAI is rolling out an Ultrafast tier for GPT-6.1 Sol in its API, Codex and ChatGPT Work, billed at 6x Standard in the API. Its documentation does not say how much faster the tier runs, so the case for each task rests on latency a team measures on its own prompts.
Reality
- Evidence50
- Adoption20
- Hype gap+10
- Incentives60
- Confidence55
buildConfirmed2 publishers OpenAI's GPT-6.1 Sol matched GPT-6 Astra on all 15 runs of a New Stack test, costing $2.66 against Astra's $14.77. Both models scored perfectly, so the run confirms the price gap on real token counts while leaving the accuracy ceiling untested.
Reality
- Evidence55
- Adoption
- Not scored
- Hype gap+5
- Incentives35
- Confidence55
buildConfirmed4 publishers OpenAI's Decisions API answers yes/no, pick-one and scale questions for $0.10 per million input tokens, with output free. Jev sells the same three question types for text at less than half that, so OpenAI's case rests on image input and compliance terms.
Perspective Coverage
4 publishers
- Builder
- Builder 59%
- Operator
- Operator 24%
- Investor
- Investor 17%
Reality
- Evidence62
- Adoption20
- Hype gap+15
- Incentives45
- Confidence60
buildOne report1 publisher Teams leaving OpenAI's retired Assistants API must rebuild thread history by hand
OpenAI retired the Assistants API on August 26, 2026, without an automatic tool to move old Threads into the Conversation objects that replace them. Teams that relied on managed threads now write that migration and set how much history each turn sends.
Reality
- Evidence30
- Adoption
- Not scored
- Hype gap+20
- Incentives
- Not scored
- Confidence35
buildOne report1 publisher Teams leaving Agent Builder must decide whether OpenAI or their own code runs the agent loop
OpenAI plans to shut down Agent Builder on November 30, 2026, so teams that built on it need another place to run their agent loops. The three OpenAI alternatives differ mainly in who runs that loop and who stores its state.
Reality
- Evidence40
- Adoption
- Not scored
- Hype gap+5
- Incentives35
- Confidence40
buildOne report1 publisher Sign in with ChatGPT lets Plus and Pro users cover an app's AI requests from their own plan
OpenAI's Sign in with ChatGPT lets Plus and Pro users run an app's AI requests on their own plan, up to a weekly cap they set per app. That cap reserves none of the user's quota, so builders still need their own API key for any request the plan cannot cover.
Reality
- Evidence55
- Adoption30
- Hype gap+5
- Incentives30
- Confidence50
buildOne report1 publisher Changing only the model string to GPT-6.1 Sol leaves two broken fields in a coding agent's request
OpenAI's GPT-6.1 Sol halves old Sol's cache-read rate to $0.10 per million tokens and requires the Responses API for tool calls. In one worked example the cut saves about 10%, and older agents only get that saving after their tool and reasoning fields are rewritten.
Reality
- Evidence45
- Adoption
- Not scored
- Hype gap0
- Incentives35
- Confidence50
buildOne report1 publisher Spring AI fixes its hard-coded 60-second stream timeout in a milestone release
Spring AI 2.0.1 ignores configured timeouts and kills any streaming turn longer than 60 seconds. The fix sits in 2.1.0-M1, a milestone built on Spring Boot 4.2.0-M2, so leaving the one-minute ceiling behind means running a pre-release stack.
Reality
- Evidence45
- Adoption
- Not scored
- Hype gap+5
- Incentives
- Not scored
- Confidence50
buildOne report1 publisher A code-review agent read 9 files and hit 3 policy blocks before reporting success
One developer's harness logged 9 file reads, 7 processes and 3 policy blocks from a code-review skill that declared no file or process access. Pass/fail scoring loses those attempts, so the harness grades each run from raw traces and canaries checked against the environment.
Reality
- Evidence30
- Adoption
- Not scored
- Hype gap+10
- Incentives
- Not scored
- Confidence35
buildConfirmed7 publishers OpenAI's guide names Sunburst for editing precision and Flare for speed, and both run from either API. The editing loop, File ID inputs and the action switch exist on the Responses side alone.
Perspective Coverage
7 publishers
- Builder
- Builder 62%
- Operator
- Operator 24%
- Investor
- Investor 14%
Reality
- Evidence76
- Adoption40
- Hype gap+10
- Incentives55
- Confidence74
buildOne report1 publisher Traffic past 15 requests a minute can route a prompt away from its cached prefix
OpenAI's guide prices reused input tokens at a discount of up to 90 percent. It also says cached key-value states sit on individual machines, so an unchanged prefix can still miss the cache when routing overflows.
Reality
- Evidence58
- Adoption
- Not scored
- Hype gap+10
- Incentives75
- Confidence65
buildOne report1 publisher DeepSeek rejects the Codex turn where a resize notice separates a call from its output
Codex batched two view_image calls and put a resize notice between their outputs. OpenAI's Responses API pairs items by call ID wherever they sit. DeepSeek's endpoint wants them adjacent, and returns the same 400 on every later message.
Reality
- Evidence62
- Adoption22
- Hype gap−8
- Incentives32
- Confidence58
UHP turns the choice of agent harness into a field in the request
The Unified Harness Protocol specifies how an application starts a task on an agent runtime, follows it, cancels it and collects the files, borrowing the shape of OpenAI's Responses API so existing streaming clients need no changes.
Publishers:unifiedharnessprotocol.org
Reality
- Evidence32
- Adoption
- Not scored
- Hype gap+35
- Incentives62
- Confidence52
buildOne report1 publisher Whoever implements the server half of Responses picks your retrieval and veto defaults
The Responses and Messages dialects specify tool declarations, streaming and reasoning knobs. A Java 21 library published to Maven Central at 0.18.0 argues the unspecified half is where retrieval, injection and veto actually live, and offers to host it in your own process.
Reality
- Evidence32
- Adoption10
- Hype gap+33
- Incentives88
- Confidence38
buildOne report1 publisher Ollama's JSON decoder drops previous_response_id before any handler sees it
A single-box test on Ollama 0.34.0 shows a turn chained with previous_response_id coming back HTTP 200 and status completed at the same 41 input tokens as the same question sent with no history at all. The request struct has no field for the key.
Reality
- Evidence66
- Adoption26
- Hype gap−8
- Incentives22
- Confidence63
buildOne report1 publisher A 1.5x per-token price still bought a 25 percent cheaper correct answer in AWS's benchmark
AWS's open harness records $0.0021 per correct AIME answer for gpt-5.6-luna after an 80 percent Bedrock price cut. The figure depends on running luna with reasoning disabled while mini runs at its defaults.
Reality
- Evidence58
- Adoption
- Not scored
- Hype gap+15
- Incentives80
- Confidence55
buildOne report1 publisher A previous_response_id continuation drops the instructions you set on turn one
OpenAI's create response reference is explicit that a chained request does not inherit earlier instructions, and because the field is optional, the turn that loses your JSON contract or your safety text still succeeds.
Reality
- Evidence58
- Adoption
- Not scored
- Hype gap+6
- Incentives32
- Confidence54
buildOne report1 publisher A read-only MCP key drops the write tools out of tools/list
Once the client-side contract is a URL and a bearer header, nothing in your config records what that key may write. The decision moved to the mint screen, which is the screen easiest to skip.
Reality
- Evidence32
- Adoption20
- Hype gap+15
- Incentives82
- Confidence48
buildOne report1 publisher Bedrock turns GPT-5.6 throughput into a routing choice, with residency as the price
Cross-Region inference for GPT-5.6 on Amazon Bedrock means capacity ceilings are now fixed by changing a profile prefix, not by changing models. The tradeoff is where your data gets processed.
Reality
- Evidence58
- Adoption20
- Hype gap+12
- Incentives86
- Confidence57
buildOne report1 publisher Deferred tool schemas cut cost 21% on average, and made one task type 12.3% dearer
Progressive disclosure on a 20-tool agent saved about 30% of input tokens overall, but the per-task split shows cost stops being flat and starts tracking your traffic mix.
Reality
- Evidence63
- Adoption18
- Hype gap−5
- Incentives35
- Confidence58