DeepSeek V3 0324: Price, Context, Benchmarks, and Release Details
55.7
SI Score (method si-v3-retained-evidence-2)
#81 of 140 ranked
74% confidence 74 percent, Medium confidence — 4 of 9 expected sources in
Coverage 59% of expected source weight · 100% confidence at 80% coverage
Pillar breakdown
Coding (weight 40 percent) 48.5
Math (weight 15 percent) 63.0
Preference (weight 15 percent) 70.6
Reasoning (weight 30 percent) 67.6
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
- not yet reported
- Output price / 1M
- not yet reported
- Context window
- 164Kmodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - Max output
- 164Kmodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - Released
- Mar 24, 2025models.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - Open weights
- Yesmodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗ - License
- not yet reported
- Input modalities
- textmodels.devPublished source fact
Retrieved Oct 9, 2026 · MIT
Open source ↗
Benchmark results
6 results| Benchmark | Raw result | Normalized (0–100) | Pillar |
|---|---|---|---|
| aider polyglot | 55.1%Aider polyglotPublished source fact [variant] Aider polyglot; 225 cases; 2 attemptsPublished Mar 24, 2025
Retrieved Oct 9, 2026 · Apache-2.0 Open source ↗ | 55.1 | coding |
| gpqa diamond | 67.6%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Apr 1, 2025
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 67.6 | reasoning |
| lmarena text | 1374.9 eloLMArena / ArenaPublished source fact [variant] text / overallPublished Oct 2, 2026
Retrieved Oct 9, 2026 · CC-BY-4.0 Open source ↗ | 70.6 | preference |
| math level 5 | 75.5%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Apr 1, 2025
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 75.5 | math |
| otis mock aime 2024 2025 | 37.8%Epoch AI BenchmarkingEpoch-owned evaluation mean score; scores only, no benchmark questions [variant] Published Apr 1, 2025
Retrieved Oct 9, 2026 · CC-BY Open source ↗ | 37.8 | math |
| swe bench verified | 42%SWE-bench VerifiedSWE-bench published model plus agent result; harness retained, not a base model evaluation [variant] SWE-ExpPublished Aug 6, 2025
Retrieved Oct 9, 2026 · factual citation Open source ↗ | 42.0 | coding |
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 (4)
- Aider polyglot · arrived Oct 8, 2026
- Epoch AI Benchmarking · arrived Oct 8, 2026
- LMArena / Arena · arrived Oct 8, 2026
- SWE-bench Verified · arrived Oct 8, 2026
pending Awaiting (5)
- ARC Prize · carries 11% of expected weight
- Humanity’s Last Exam · carries 11% of expected weight
- Official model cards via models.dev · carries 4% of expected weight
- LiveBench · carries 11% of expected weight
- Terminal-Bench · carries 5% 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.