OpenAI, released May 5, 2026

GPT-5.5 Instantprice, context, benchmarks and release details

Provisional: not enough results to rank yet 64% confidence 64 percent, Medium confidence, 2 of 7 expected sources in
58.3
SI Score
#69 of 142 ranked models
Input, per 1M tokens
not yet reported
Output, per 1M tokens
not yet reported
Context window
400Kmodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
Open source ↗
Max output
128Kmodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
Open source ↗
Released
May 5, 2026models.devPublished source fact Retrieved Oct 9, 2026 · MIT
Open source ↗

How the score breaks down

Coding (weight 40 percent) —
Math (weight 15 percent) 25.1
Preference (weight 15 percent) 74.9
Reasoning (weight 30 percent) 82.5

Weights: reasoning 30%, math 15%, coding 40%, preference 15%. Results use fixed 0–100 scales before averaging, and thin evidence is pulled toward 50. Method si-v3-retained-evidence-2, computed Oct 9, 2026, 05:13 UTC.

Around it on the leaderboard

  1. 67 Qwen3.7 Max 58.6
  2. 68 Gemini 3 Pro Preview 58.6
  3. 69 GPT-5.5 Instant 58.3
  4. 70 MiniMax-M2.7 57.9
  5. 71 Fugu Ultra 57.9

Full leaderboard

Benchmark results

5 benchmarks, 5 results

Each row shows the best published result. Where a model was tested at several settings, such as reasoning effort, open the row to see each one. Hover or tap a value for its source.

GPQA Diamondreasoning 82.5%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Aug 2, 2026 Retrieved Oct 9, 2026 · CC-BY
Open source ↗
82.5
FrontierMath Tier 4 (v2)math 2.4%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Aug 2, 2026 Retrieved Oct 9, 2026 · CC-BY
Open source ↗
2.4
FrontierMath Tiers 1–3 (v2)math 26.3%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Aug 2, 2026 Retrieved Oct 9, 2026 · CC-BY
Open source ↗
26.3
OTIS Mock AIME 2024–2025math 68.1%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Aug 2, 2026 Retrieved Oct 9, 2026 · CC-BY
Open source ↗
68.1
LMArena Textpreference 1419.0 eloLMArena / ArenaPublished source fact [variant] text / overallPublished Oct 8, 2026 Retrieved Oct 9, 2026 · CC-BY-4.0
Open source ↗
74.9

Normalization uses a fixed 0–100 scale for each unit, independent of other models. Compare evaluation conditions before reading a small gap as decisive. “Lab-reported” marks the provider's own published figure.

Details and sources

Open weights
Nomodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
Open source ↗
License
not yet reported
Input modalities
text, image, pdfmodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
Open source ↗
First seen by SuperIndex
Oct 8, 2026
Coverage
51% of expected source weight

Reported (2)

  • Epoch AI BenchmarkingOct 8, 2026
  • LMArena / ArenaOct 8, 2026

Awaiting (5)

  • ARC Prize13% of weight
  • Humanity’s Last Exam13% of weight
  • Official model cards via models.dev4% of weight
  • LiveBench13% of weight
  • Terminal-Bench6% of weight

Confidence rises as pending sources publish. Some sources never cover some models, so confidence reaches 100% at 80% of expected weight.

What changed

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