Gemini 3.1 Pro Preview
- Benchmark records
- 13
- Snapshot
- 2026-07-30
Independent model comparison
Gemini 3.1 Pro Preview vs GPT-5.6 Luna: evidence side by side
Compare the models using only evidence that can be identified and attributed. Exact benchmark matches appear first; independent facts and user reports remain separate and do not create an overall ranking.
Exact comparison coverage
7 benchmark records share an exact reviewed comparison key.
Evidence strength
Editorial review pending
Substantial matched evidence exists, but this pair has not passed the pair-native publication gate.
Models at a glance
Key differences
OpenAI
GPT-5.6 Luna
- Benchmark records
- 7
- Snapshot
- 2026-07-30
| Detail | Gemini 3.1 Pro Preview | GPT-5.6 Luna |
|---|---|---|
| Provider |
|
OpenAI |
| Release date Shown only where an exact reviewed release date is available. |
Not verified |
Not verified |
| Exact benchmark coverage Only records carrying the same reviewed comparison identity are counted. |
7 shared records |
7 shared records |
Price and speed appear only when an exact reviewed operational reference is attached to that model identity.
Primary comparison evidence
Exact matched benchmark evidence
A shared benchmark name is not enough. A result appears side by side only when both model records carry the same reviewed comparison key. Duplicate or unversioned records are omitted rather than guessed into alignment.
Artificial Analysis Intelligence Index
A composite index of language-model performance across agentic work, coding, scientific reasoning, knowledge, and long-context reasoning.
Gemini 3.1 Pro Preview
46
Artificial Analysis Intelligence Index
Configuration: Gemini 3.1 Pro Preview
Artificial Analysis · as of 30 Jul 2026 · Intelligence Index v4.1 · 2026-07-30
GPT-5.6 Luna
46
Artificial Analysis Intelligence Index
Configuration: GPT-5.6 Luna (high)
Artificial Analysis · as of 30 Jul 2026 · Intelligence Index v4.1 · 2026-07-30
GDPval-AA v2
Artificial Analysis's agentic evaluation of economically valuable, real-world work tasks based on the GDPval dataset.
Gemini 3.1 Pro Preview
23%
GDPval-AA v2
Configuration: Gemini 3.1 Pro Preview
Artificial Analysis · as of 30 Jul 2026 · Independent evaluation · Public leaderboard snapshot · 2026-07-30
GPT-5.6 Luna
48%
GDPval-AA v2
Configuration: GPT-5.6 Luna (high)
Artificial Analysis · as of 30 Jul 2026 · Independent evaluation · Public leaderboard snapshot · 2026-07-30
GPQA Diamond
The most challenging subset of Graduate-Level Google-Proof Q&A, focused on scientific reasoning.
Gemini 3.1 Pro Preview
94%
GPQA Diamond
Configuration: Gemini 3.1 Pro Preview
Artificial Analysis · as of 30 Jul 2026 · Independent evaluation · Public leaderboard snapshot · 2026-07-30
GPT-5.6 Luna
89%
GPQA Diamond
Configuration: GPT-5.6 Luna (high)
Artificial Analysis · as of 30 Jul 2026 · Independent evaluation · Public leaderboard snapshot · 2026-07-30
Humanity's Last Exam
A broad expert-level benchmark of difficult academic reasoning and knowledge questions.
Gemini 3.1 Pro Preview
45%
Humanity's Last Exam
Configuration: Gemini 3.1 Pro Preview
Artificial Analysis · as of 30 Jul 2026 · Independent evaluation · Public leaderboard snapshot · 2026-07-30
GPT-5.6 Luna
32%
Humanity's Last Exam
Configuration: GPT-5.6 Luna (high)
Artificial Analysis · as of 30 Jul 2026 · Independent evaluation · Public leaderboard snapshot · 2026-07-30
MMMU-Pro
A multimodal academic reasoning benchmark designed to reduce shortcuts and guessing across many disciplines.
Gemini 3.1 Pro Preview
82%
MMMU-Pro
Configuration: Gemini 3.1 Pro Preview
Artificial Analysis · as of 30 Jul 2026 · Independent evaluation · Public leaderboard snapshot · 2026-07-30
GPT-5.6 Luna
78%
MMMU-Pro
Configuration: GPT-5.6 Luna (high)
Artificial Analysis · as of 30 Jul 2026 · Independent evaluation · Public leaderboard snapshot · 2026-07-30
ROASBench
A 12-month performance-marketing simulation scored on business outcomes, planning, behavior, and persona fit.
Gemini 3.1 Pro Preview
27.14
Average ROASBench score
Configuration: Google: Gemini 3.1 Pro Preview
Spring Prompt · Reviewed public-catalogue SQLite projection · 12-month simulation
GPT-5.6 Luna
4 configurations
Average ROASBench score
Configuration: 4 configurations compared separately
Spring Prompt · Reviewed public-catalogue SQLite projection · 12-month simulation
Terminal-Bench v2.1
A terminal-based agent benchmark covering software engineering, system administration, data processing, model training, and security tasks.
Gemini 3.1 Pro Preview
74%
Terminal-Bench v2.1
Configuration: Gemini 3.1 Pro Preview
Artificial Analysis · as of 30 Jul 2026 · Independent evaluation · Public leaderboard snapshot · 2026-07-30
GPT-5.6 Luna
70%
Terminal-Bench v2.1
Configuration: GPT-5.6 Luna (high)
Artificial Analysis · as of 30 Jul 2026 · Independent evaluation · Public leaderboard snapshot · 2026-07-30
Secondary context · not head-to-head
Independent signals for each model
The sources below evaluated or discussed each model independently. Putting them in adjacent columns makes them easier to inspect, but it does not make their metrics, samples, or observations directly comparable.
Anecdotal model-level reports
Initial community opinions from Reddit
Recurring themes from each model's declared observation window. They are not a representative survey and are not direct comparisons between these models.
Gemini 3.1 Pro Preview
Initial community opinions
In the search-indexed launch-window sample, Gemini 3.1 Pro appeared to improve long outputs, context retention, coding, and interface generation. Recurring reservations involved weak autonomous tool use, lengthy planning, flattery, inconsistent instruction following, and large differences between AI Studio, the consumer chat product, and Antigravity. Capability looked promising while agent reliability remained unsettled.
Source venue: Reddit · window: 2026-02-19 to 2026-03-05 · observed items: 4
GPT-5.6 Luna
No editor-reviewed Reddit opinions paragraph is active for this model snapshot.
Independent early-test reports
Early technical field tests from X
Editor-paraphrased reports from independent authors in each model's fixed 14-day launch window. These selectively surfaced anecdotes are not direct head-to-head tests unless they also appear in the dedicated direct-report section above.
Gemini 3.1 Pro Preview
Early technical field tests
Early Gemini 3.1 Pro reports were strongly harness-dependent. An overnight OpenCode run on a large production monorepo described sustained tool use, few tool failures, useful clarification behavior, and capable interface work. A separate production integration found speed and design strengths but inconsistent instruction and tool-schema adherence. The safest conclusion is high raw capability with uneven agent reliability between hosts.
Source venue: X · window: 2026-02-19 to 2026-03-05 · 2 tests · 2 independent authors · 2 with a method or artifact · identity reviewed
GPT-5.6 Luna
No editor-reviewed X field-test paragraph is active for this model snapshot.
X field tests remain separate from Reddit community opinions, Artificial Analysis facts, and every scored benchmark.
How to read this comparison
Spring Prompt does not name an overall winner from unrelated benchmark scores, third-party metrics, Reddit opinions, or X field-test reports.
Different benchmarks measure different constructs and may use different populations, prompts, harnesses, model revisions, tools, and score scales. This page does not average those values or infer a winner from source coverage. Test both models on your own production work before making a consequential choice.