Compare published benchmark results from matching versions and cohorts, API pricing, and technical specifications. Any documented test setup differences remain visible.
shared result series
230
distinct benchmarks
29
latest retrieval
2026-09-29
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Specifications
General specifications
Release date, availability, context window, architecture, and published parameter counts at a glance. Undisclosed details remain marked as unavailable.
Specifications for GPT-5.6 Luna and Gemini 3.5 Flash
The table compares official standard API rates per 1M tokens, including published cache pricing. Batch, fast, priority, regional surcharges, tool calls, and cloud platform pricing are excluded.
Key to the marks:better valuebetter, but not conclusivetie
Pricing by provider
Direct developer pricing and provider endpoint tariffs routed through OpenRouter are listed separately. Prices are in USD per 1M tokens. Context-dependent direct tiers plus regional, Flex, Priority, and other OpenRouter tariffs remain individually identifiable.
Provider pricing for GPT-5.6 Luna and Gemini 3.5 Flash
Only published results with the same benchmark version, task, metric, and comparison cohort are paired. Different reasoning levels, agents, harnesses, or output limits appear directly in the table.
Capability profile from matched benchmarks
Each axis averages directly matched benchmark families. A value of 100 means the stronger value within this pair, not a universal quality score.
GPT-5.6 Luna
Gemini 3.5 Flash
Coding: 100 / 79.4 (5 benchmark families)
Reasoning: 98.9 / 100 (1 benchmark family)
Mathematics: 100 / 51.7 (1 benchmark family)
Knowledge: 96.1 / 100 (1 benchmark family)
Finance: 98.9 / 96.7 (6 benchmark families)
Legal: 83.3 / 94.6 (3 benchmark families)
Agentic tasks: 100 / 90.5 (2 benchmark families)
Multimodal: 96.3 / 100 (1 benchmark family)
31 matched rows from 27 benchmark families were considered. The radar shows 8 of 14 comparable categories.
GPT-5.6 LunaGemini 3.5 Flash
Code MigrationOverall. Higher is better. No documented setup difference
GPT-5.6 LunaWinner44.55 %
Gemini 3.5 Flash26.745 %
CorpFin v2Overall. Higher is better. No documented setup difference
GPT-5.6 Luna64.219 %
Gemini 3.5 FlashWinner64.686 %
CyberBench v1.1Patch. Higher is better. No documented setup difference
GPT-5.6 Luna79.661 %
Gemini 3.5 FlashWinner81.034 %
EMBOverall. Higher is better. No documented setup difference
GPT-5.6 LunaWinner67.116 %
Gemini 3.5 Flash63.548 %
Finance Agent (v2)Overall. Higher is better. No documented setup difference
GPT-5.6 Luna55.044 %
Gemini 3.5 FlashWinner57.861 %
GPQA DiamondOverall. Higher is better. No documented setup difference
GPT-5.6 Luna91.666 %
Gemini 3.5 FlashWinner92.676 %
Harvey's Legal Agent BenchmarkOverall · Task fully resolved. Higher is better. No documented setup difference
GPT-5.6 Luna1.25 %
Gemini 3.5 FlashWinner2.5 %
Legal Research BenchOverall · All-pass. Higher is better. No documented setup difference
GPT-5.6 LunaWinner36.538 %
Gemini 3.5 Flash30.769 %
LegalBenchOverall. Higher is better. No documented setup difference
GPT-5.6 LunaWinner84.034 %
Gemini 3.5 Flash83.602 %
LMArena Text, Style ControlOverall. Higher is better. Test setup not documented as identical
GPT-5.6 Luna1,453.977
Gemini 3.5 FlashHigher measured value1,476.958
MedCodeOverall. Higher is better. No documented setup difference
GPT-5.6 Luna42.391 %
Gemini 3.5 FlashWinner55.825 %
MedScribeOverall. Higher is better. No documented setup difference
GPT-5.6 LunaWinner84.391 %
Gemini 3.5 Flash76.574 %
Key to the marks:better valuebetter, but not conclusivetie
Benchmark scores for GPT-5.6 Luna and Gemini 3.5 Flash
Benchmark and task
GPT-5.6 Luna
Gemini 3.5 Flash
Source
Code MigrationOverallTest details
No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better
Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGPT-5.6 Luna: Snapshot: gpt-5.6-luna-xhigh, Reasoning: xhigh, Harness: Arena text, style control Gemini 3.5 Flash: Snapshot: gemini-3.5-flash-high, Reasoning: high, Harness: Arena text, style controlGPT-5.6 Luna: Style-controlled Arena rating from 35,823 anonymous pairwise votes.Gemini 3.5 Flash: Style-controlled Arena rating from 46,190 anonymous pairwise votes.
1,453.977
95% confidence interval: ±4.487The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.
Higher measured value1,476.958
95% confidence interval: ±3.954The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.
Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGPT-5.6 Luna: Snapshot: gpt-5.6-luna-xhigh, Reasoning: xhigh, Harness: Arena text, style control Gemini 3.5 Flash: Snapshot: gemini-3.5-flash-medium, Reasoning: medium, Harness: Arena text, style controlGPT-5.6 Luna: Style-controlled Arena rating from 35,823 anonymous pairwise votes.Gemini 3.5 Flash: Style-controlled Arena rating from 44,906 anonymous pairwise votes.
1,453.977
95% confidence interval: ±4.487The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.
Higher measured value1,473.999
95% confidence interval: ±4.219The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.
LMArena Text, Style ControlBusiness, management and financeTest details
Test setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterGPT-5.6 Luna: Snapshot: gpt-5.6-luna-xhigh, Reasoning: xhigh, Harness: Arena text, style control Gemini 3.5 Flash: Snapshot: gemini-3.5-flash-high, Reasoning: high, Harness: Arena text, style controlGPT-5.6 Luna: Style-controlled Arena rating from 6,871 anonymous pairwise votes.Gemini 3.5 Flash: Style-controlled Arena rating from 9,088 anonymous pairwise votes.
1,463.458
95% confidence interval: ±7.984The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.
Higher measured value1,467.855
95% confidence interval: ±7.031The Arena score measures human preference rather than a fixed capability test. The confidence interval and model configuration are part of the result.
Key to the marks:better valuebetter, but not conclusivetie
Our model tests
Our tests
Compare how the models respond to the same prompt. Each test shows the first attempt, with no subsequent fixes to the generated code. These results do not contribute to an overall score.
Pelican on a bicycle
A community classic for free-form SVG drawing.
GPT-5.6 Luna
A community classic for free-form SVG drawing.
Reasoning (requested): high
First attempt
Run date
7 Sept 2026
API provider
openrouter
Requested API model
openai/gpt-5.6-luna
API model reported in response
openai/gpt-5.6-luna
Reasoning setting
high
Pinned endpoint
OpenAI | openai/gpt-5.6-luna-20260709
Temperature
Provider default
Token limit including reasoning
8,192 tokens
Test protocol
community-visual-tests-v1
Technical checks
Passed, not a quality rating
Response time
49.9 s
Visually reviewed. This individual test does not establish overall model quality.
Gemini 3.5 Flash
API access was unavailable for this run. The model was not evaluated.
Reasoning (requested): high
First attempt
Run date
7 Sept 2026
API provider
openrouter
Requested API model
google/gemini-3.5-flash
Reasoning setting
high
Pinned endpoint
Google AI Studio | google/gemini-3.5-flash-20260519
Temperature
Provider default
Token limit including reasoning
8,192 tokens
Test protocol
community-visual-tests-v1
Technical checks
Not run
Not yet visually reviewed. A successful recording does not confirm correct physics or full compliance with the prompt.
Your workload, budget, and required context length matter most. A coding benchmark says little about visual understanding or agent performance.
The standard price table uses direct developer rates. The provider comparison labels OpenRouter endpoints, regions, and special tariffs separately.
Every result links to its measurement source and retrieval date. Labels distinguish vendor reports, official benchmark leaderboards, and independent evaluations. Disputed or archived results are excluded.
More matchups
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