OpenAI, released Jul 18, 2024

GPT-4o miniprice, context, benchmarks and release details

100% confidence 100 percent, Full confidence, 4 of 6 expected sources in
22.9
SI Score
#142 of 142 ranked models
Input, per 1M tokens
$0.15models.devFirst-party hosted API; MIT models.dev transcription. Provider documentation: https://platform.openai.com/docs/models. Exact canonical endpoint; lowest short-context Standard USD token tier; cache/batch discounts excluded. Deprecated endpoints excluded; openai/gpt-4o-mini Retrieved Oct 9, 2026 · MIT
Open source ↗
Output, per 1M tokens
$0.60models.devFirst-party hosted API; MIT models.dev transcription. Provider documentation: https://platform.openai.com/docs/models. Exact canonical endpoint; lowest short-context Standard USD token tier; cache/batch discounts excluded. Deprecated endpoints excluded; openai/gpt-4o-mini Retrieved Oct 9, 2026 · MIT
Open source ↗
Context window
128Kmodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
Open source ↗
Max output
16.4Kmodels.devPublished source fact Retrieved Oct 9, 2026 · MIT
Open source ↗
Released
Jul 18, 2024OpenAI API changelogPublished source fact Retrieved Oct 9, 2026 · factual citation
Open source ↗

How the score breaks down

Coding (weight 40 percent) 3.6
Math (weight 15 percent) 22.7
Preference (weight 15 percent) 60.6
Reasoning (weight 30 percent) 7.5

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. 138 Llama-3.2-1B 32.1
  2. 139 GPT-4.1 nano 32.1
  3. 140 GPT-4o 31.2
  4. 141 Llama 4 Maverick 17B Instruct 30.0
  5. 142 GPT-4o mini 22.9

Full leaderboard

Benchmark results

8 benchmarks, 8 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.

ARC-AGI-2 (public eval)reasoning 0%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] gpt-4o-mini-2024-07-18Published Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
Open source ↗
0.0
ARC-AGI-2 (semi-private)reasoning 0%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] gpt-4o-mini-2024-07-18Published Oct 6, 2026 Retrieved Oct 9, 2026 · factual citation
Open source ↗
0.0
GPQA Diamondreasoning 37.7%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Jan 27, 2025 Retrieved Oct 9, 2026 · CC-BY
Open source ↗
37.7
FrontierMath Tiers 1–3 (v2)math 0.7%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Aug 27, 2026 Retrieved Oct 9, 2026 · CC-BY
Open source ↗
0.7
MATH Level 5math 52.6%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Jan 27, 2025 Retrieved Oct 9, 2026 · CC-BY
Open source ↗
52.6
OTIS Mock AIME 2024–2025math 6.9%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Jul 30, 2025 Retrieved Oct 9, 2026 · CC-BY
Open source ↗
6.9
Aider Polyglotcoding 3.6%Aider polyglotPublished source fact [variant] Aider polyglot; 225 cases; 2 attemptsPublished Dec 21, 2024 Retrieved Oct 9, 2026 · Apache-2.0
Open source ↗
3.6
LMArena Textpreference 1286.4 eloLMArena / ArenaPublished source fact [variant] text / overallPublished Oct 8, 2026 Retrieved Oct 9, 2026 · CC-BY-4.0
Open source ↗
60.6

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
80% of expected source weight

Reported (4)

  • Aider polyglotOct 8, 2026
  • ARC PrizeOct 8, 2026
  • Epoch AI BenchmarkingOct 8, 2026
  • LMArena / ArenaOct 8, 2026

Awaiting (2)

  • Official model cards via models.dev5% of weight
  • LiveBench15% 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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