ModelSpec is an analysis of alternatives for AI models: it decides which models fit a job from your requirements, sourced benchmarks and real cost, and shows its work.

Claude Opus 5.5 vs Gemini 3.7 Flash for High volume (quality first), as of 2026-09-23

Find a text model for many short assistant requests where response quality still leads the ranking.

Worked example as of 2026-09-23, from the public data image.

What the evidence says

The evidence separates them: Claude Opus 5.5 leads for High volume (quality first), with a 49% chance of being the best model in the full lineup for this job, as of 2026-09-23.

Gemini 3.7 Flash has a 24% chance of matching or beating Claude Opus 5.5 on this job's objective.

probability bands: a model joins the leader when P(its score >= the leader's) >= 0.25 under the score posteriors; a weighted capability with an 80% interval wider than 2.8 is not enough evidence

Decision status: partial. P(best) and score intervals retain the full ranked lineup for this job, including models beyond this pair and models with thin evidence. Models with unknown objective values remain unranked and are outside this probability. P(best) is not a head-to-head probability. Separation from this challenger need not mean a unique best model across that lineup.

Scores and score intervals use the objective's dimensionless normalised units. Cost per task is in USD for the selected offering and the applied spec's task size. When task size is omitted, the engine uses its documented default. Unavailable means the engine returned no value.

Short requests at scale; quality leads, cost counts.

Requirements

• model.class = text-generator: The workload needs generated text responses.

Preferences

• chat_preference: Prefer assistants whose responses people rate more highly.
• -offering.cost_per_task: At volume, cost still matters as the second term.

Evidence for Claude Opus 5.5

Missing facts for Claude Opus 5.5

• model.hardware_fit_indeterminate: unknown
• model.languages: unknown
• model.parameters_total: unknown
• origin.base_lineage: not_disclosed
• origin.weights_hosting: not_disclosed
• offering.api_model_id: unknown
• offering.data.zero_retention: requires_contract
• offering.private_deployment: unknown
• offering.router_slug: unknown
• offering.speed.throughput: unknown
• offering.speed.time_to_first_token: unknown

Evidence for Gemini 3.7 Flash

Missing facts for Gemini 3.7 Flash

• model.hardware_fit_indeterminate: unknown
• model.languages: unknown
• model.parameters_total: unknown
• origin.base_lineage: not_disclosed
• origin.weights_hosting: not_disclosed
• offering.api_model_id: unknown
• offering.attestation.baa: not_disclosed
• offering.attestation.soc2: not_disclosed
• offering.private_deployment: unknown
• offering.router_slug: unknown
• offering.speed.throughput: unknown
• offering.speed.time_to_first_token: unknown

What this template teaches

Short task tokens make the cost term reflect one small request, not one long agent run.

Decision dec_f0ebf8d327afab69afc0e656 on public snapshot snap_05a963d2477ac2fb.

Read the full dated job answer.

The live board uses current data. This link applies the template to its full lineup.

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