MultimancerSagePeer public scoresmeth_v0_1_1as of 2026-07-11

Gemini 3.1 Pro · API · High thinking

The reasoning multimancer — 1M context, strong science, calibrated knowledge.

Gemini 3.1 Pro for deep research, long-context synthesis, and multimodal work when judgment and modalities matter as much as pure SWE points.

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Codex rating

75.1

Confidence B

Overall mean of attribute public scores after peer min-max (40–95 band within scored launch peer set).

Loadout

Endpoint: gemini-3.1-pro-preview
Product: Google AI / Gemini API
Price: $2 / $12 per MTok
Context: 1049k tokens

Google Gemini 3.1 Pro Preview API at high thinking, 1M context, multimodal (text/image/audio/video), $2/$12 per MTok (≤200k). Reasoning multimancer for research, long-context, and visual work.

Core attributes

Six stats · peer public

Peer publicbars = rank in scored peer set (≈40–95) · raw = absolute fusion under the bar

STRExecution

46.8raw 76.4B39.8–53.8

DEXTempo

95.0raw 78.0B85–100

CONReliability

42.2raw 76.4B35.2–49.2

INTReasoning

92.8raw 88.1A88.8–96.8

WISJudgment

95.1raw 81.3A91.1–99.1

CHACollaboration

78.6raw 85.6A74.6–82.6

Peer public (main number / bar) ranks this Build inside the current scored peer set (≈40–95). Raw is the absolute evidence-fusion aggregate before min-max. A low peer score can still be a strong absolute model — see methodology.

Practical verdict

When to choose

Best at

Deep research and scientific reasoning (GPQA-class)
Long-context multimodal analysis (1M + vision/audio/video)
Calibrated knowledge work (strong Omniscience story)

Avoid for

Absolute max independent agentic coding (Sol / Opus still lead mini-swe)
Strict budget token farms (output $12; thinking burns tokens)
Teams that need only open weights

Choose this when

The quest is research, multimodal, or long-context — not pure SWE ceiling at any price.

Skills

Task proficiencies

Creative Writing89.0 B

Professional Writing89.0 B

Quantitative Reasoning87.2 A

Following Complex Instructions84.9 B

Research Synthesis84.6 A

Frontend And Ui81.6 A

Visual Understanding81.6 A

Debugging80.1 B

Existing Codebase Work80.1 B

Refactoring80.1 B

Test Writing80.1 B

Fast Interactive Work78.0 B

Devops And Terminal68.5 B

Long Autonomous Runs68.5 B

Tool Calling68.5 B

Traits & Quirks

Signature strengths and honest flaws

No structured traits or flaws catalogued for this Build yet. Traits are behavioural patterns (beyond raw scores) — added as evidence and field observation accumulate. See Best at / Avoid for above in the meantime.

Evidence Terminal

Traceability

Every factual claim cites an evidence row. Tap a chip to see the benchmark, exact config, source, and caveats behind the number.

GPQA Diamond94.1%A MMMU-Pro82%A AA-Omniscience33B Artificial Analysis API latency / throughput127.9B Chatbot Arena / LMArena human preference1505B Humanity's Last Exam44.4%B MMMU-Pro80.5%B SWE-bench Verified79.8%B SWE-bench Verified80.6%B Terminal-Bench68.5%B

Engine pass meth_v0_1_1 (peer min-max vs scored launch peer set). Codex overall 75.1 (B). Attribute public scores map raw aggregates into a 40–95 band within the peer set (methodology min-max). INT uses hierarchical fusion (GPQA primary / HLE secondary / capped bleed).