Grok 4.20 (Reasoning): Price, Context, Benchmarks, and Release Details
57.7
SI Score (method si-v3-retained-evidence-2)
#72 of 140 ranked
80% confidence 80 percent, High confidence — 3 of 7 expected sources in
Coverage 64% of expected source weight · 100% confidence at 80% coverage
Pillar breakdown
Coding (weight 40 percent) —
Math (weight 15 percent) 43.2
Preference (weight 15 percent) 77.8
Reasoning (weight 30 percent) 65.2
Pillar weights: reasoning 30% · math 15% · coding 40% · preference 15%. Benchmark results use fixed 0–100 scales before averaging; incomplete evidence is shrunk toward 50.
Facts
- Input price / 1M
- $1.25models.devFirst-party hosted API; MIT models.dev transcription. Provider documentation: https://docs.x.ai/docs/models. Exact canonical endpoint; lowest short-context Standard USD token tier; cache/batch discounts excluded. Deprecated endpoints excluded; xai/grok-4.20-0309-reasoning
Retrieved Oct 9, 2026 · MIT
Open source ↗ - Output price / 1M
- $2.50models.devFirst-party hosted API; MIT models.dev transcription. Provider documentation: https://docs.x.ai/docs/models. Exact canonical endpoint; lowest short-context Standard USD token tier; cache/batch discounts excluded. Deprecated endpoints excluded; xai/grok-4.20-0309-reasoning
Retrieved Oct 9, 2026 · MIT
Open source ↗ - Context window
- 1Mmodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - Max output
- 30Kmodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - Released
- Mar 9, 2026models.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - 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 ↗
Benchmark results
10 results| Benchmark | Raw result | Normalized (0–100) | Pillar |
|---|---|---|---|
| arc agi v1 public eval | 95.5%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] grok-4.20-beta-0309b-reasoningPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 95.5 | reasoning |
| arc agi v1 semi private | 89.5%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] grok-4.20-beta-0309b-reasoningPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 89.5 | reasoning |
| arc agi v2 public eval | 63.6%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] grok-4.20-beta-0309b-reasoningPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 63.6 | reasoning |
| arc agi v2 semi private | 65.1%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] grok-4.20-beta-0309b-reasoningPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 65.1 | reasoning |
| arc agi v3 semi private | 0.1%ARC PrizeARC Prize steward-published result; exact edition/subset; publication time is HTTP Last-Modified of the aggregate export, not the evaluation date. [variant] xai-grok-4-20-beta-0309-reasoningPublished Oct 6, 2026
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 0.1 | reasoning |
| frontiermath tier 4 v2 | 17.1%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Jul 13, 2026
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 17.1 | math |
| frontiermath tiers 1 3 v2 | 44.9%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Jul 13, 2026
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 44.9 | math |
| gpqa diamond | 89.3%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Jul 13, 2026
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 89.3 | reasoning |
| lmarena text | 1450.8 eloLMArena / ArenaPublished source fact [variant] text / overallPublished Oct 2, 2026
Retrieved Oct 9, 2026 · CC-BY-4.0 Open source ↗ | 77.8 | preference |
| otis mock aime 2024 2025 | 92.2%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Jul 13, 2026
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 92.2 | math |
Normalization uses fixed absolute 0–100 scales for each unit, independently of other models that have a result on each benchmark. Coverage and evidence breadth still affect the composite; compare the evaluation conditions before reading a small score gap as decisive. “lab-reported” marks the provider's own published figure.
Sources: in and pending
in Reported (3)
- ARC Prize · arrived Oct 8, 2026
- Epoch AI Benchmarking · arrived Oct 8, 2026
- LMArena / Arena · arrived Oct 8, 2026
pending Awaiting (4)
- Humanity’s Last Exam · carries 13% of expected weight
- Official model cards via models.dev · carries 4% of expected weight
- LiveBench · carries 13% of expected weight
- Terminal-Bench · carries 6% of expected weight
The confidence % rises as pending sources publish. Some sources never cover some models — that is why 100% confidence arrives at 80% of expected weight, not at full coverage.