The provider announcement describes intended uses, not an independent result in your application. Check accepted inputs, thinking controls and current pricing on the selected Gemini endpoint.
Start with the workload that creates your largest queue. Haiku 5.5 was released October 7, 2026, and Gemini 3.8 Flash reached general availability September 2. Compare accepted results at realistic concurrency before choosing by a latency-oriented product name.
Run a workload mix instead of one short prompt
Include short classification, longer extraction and a small difficult subset. Report outcomes by task category so a model that excels on easy inputs cannot hide failures on the cases that matter.
Check migration settings first
Haiku 5.5 rejects several request settings used by older Haiku versions. Gemini has its own thinking and input controls. Unsupported parameters and fallback retries should be fixed or recorded rather than counted as unexplained model latency.
Three criteria for this comparison
Labeled task correctness and missing-field handling
Native effort or thinking settings
Throughput and tail latency at matched concurrency
Run a fair comparison
Use the same representative inputs and a written answer rubric. Pin the model version and record the endpoint, thinking configuration, quantization when known, context length, output allowance and concurrency. Preserve native request differences in an adapter rather than silently dropping fields.
Measure full request time, error rate and reported usage. For tools, validate arguments and score the result after execution. For images, preserve resolution and preprocessing. A valid response format alone does not establish a correct answer.
Compare cost per accepted result
Calculate input cost plus all billed output, including reasoning where the provider counts it. Add retries and discarded answers. Divide the total by the number of results that pass your quality criteria. Keep API usage cost separate from deployment and engineering cost.
Latest recorded measurements aligned by exact artifact, benchmark version, source and methodology. These are source results, not tests of Flonno's deployment.
Artificial Analysis observations are refreshed by the integrated Radar. Differences in artifact, benchmark version or method prevent a score comparison. Read the evidence methodology →
YOUR WORKLOAD
Compare cost per accepted task.
Enter results from your own evaluation. A task should count once it meets your written quality criteria. Include failed attempts and retries in total spend. These inputs stay in this browser and are not a Flonno benchmark.
Claude Haiku 5.5
Enter all four values. Attempted tasks must be at least one; accepted tasks cannot exceed attempted tasks.
Gemini 3.8 Flash
Enter all four values. Attempted tasks must be at least one; accepted tasks cannot exceed attempted tasks.
Turn evidence into a deployment decision
A source benchmark can inform your shortlist, while your evaluation shows whether a model finishes the work at an acceptable cost. Keep the chosen endpoint, processing terms and output limits in the decision record. Inclusion in the Radar does not mean the model is served by Flonno.
