Compare · ModelsLive · 2 picked · head to head
DeepSeek V3.2 vs gpt-oss-120b
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
DeepSeek V3.2 wins on 12/16 benchmarks
DeepSeek V3.2 wins 12 of 16 shared benchmarks. Leads in coding · agentic · arena.
Category leads
coding·DeepSeek V3.2agentic·DeepSeek V3.2arena·DeepSeek V3.2knowledge·DeepSeek V3.2reasoning·DeepSeek V3.2language·gpt-oss-120bmath·gpt-oss-120b
Hype vs Reality
Attention vs performance
DeepSeek V3.2
#108 by perf·no signal
gpt-oss-120b
#137 by perf·no signal
Best value
gpt-oss-120b
2.3x better value than DeepSeek V3.2
DeepSeek V3.2
191.0 pts/$
$0.27/M
gpt-oss-120b
434.3 pts/$
$0.11/M
Vendor risk
Mixed exposure
One or more vendors flagged
DeepSeek
$3.4B·Tier 1
OpenAI
$840.0B·Tier 1
Head to head
16 benchmarks · 2 models
DeepSeek V3.2gpt-oss-120b
Aider polyglot
DeepSeek V3.2 leads by +32.4
Aider Polyglot · measures how well AI models can edit code across multiple programming languages using the Aider coding assistant framework.
DeepSeek V3.2
74.2
gpt-oss-120b
41.8
APEX-Agents
DeepSeek V3.2 leads by +2.3
APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments.
DeepSeek V3.2
7.0
gpt-oss-120b
4.7
Chatbot Arena Elo · Overall
DeepSeek V3.2 leads by +72.3
DeepSeek V3.2
1425.0
gpt-oss-120b
1352.7
Chess Puzzles
gpt-oss-120b leads by +6.0
Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities.
DeepSeek V3.2
14.0
gpt-oss-120b
20.0
GPQA diamond
DeepSeek V3.2 leads by +10.2
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
DeepSeek V3.2
77.9
gpt-oss-120b
67.7
LiveBench · Agentic Coding
DeepSeek V3.2 leads by +30.0
DeepSeek V3.2
46.7
gpt-oss-120b
16.7
LiveBench · Coding
DeepSeek V3.2 leads by +15.5
DeepSeek V3.2
75.7
gpt-oss-120b
60.2
LiveBench · Data Analysis
DeepSeek V3.2 leads by +6.2
DeepSeek V3.2
45.0
gpt-oss-120b
38.8
LiveBench · If
gpt-oss-120b leads by +27.2
DeepSeek V3.2
23.1
gpt-oss-120b
50.3
LiveBench · Language
DeepSeek V3.2 leads by +15.6
DeepSeek V3.2
64.2
gpt-oss-120b
48.6
LiveBench · Mathematics
gpt-oss-120b leads by +4.9
DeepSeek V3.2
64.0
gpt-oss-120b
68.9
LiveBench · Overall
DeepSeek V3.2 leads by +5.8
DeepSeek V3.2
51.8
gpt-oss-120b
46.1
LiveBench · Reasoning
DeepSeek V3.2 leads by +5.0
DeepSeek V3.2
44.3
gpt-oss-120b
39.2
OTIS Mock AIME 2024-2025
gpt-oss-120b leads by +1.1
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
DeepSeek V3.2
87.8
gpt-oss-120b
88.9
SimpleQA Verified
DeepSeek V3.2 leads by +13.6
SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information.
DeepSeek V3.2
27.5
gpt-oss-120b
13.9
Terminal Bench
DeepSeek V3.2 leads by +20.9
Terminal-Bench 2.0 · evaluates AI agents on real terminal-based coding tasks · writing scripts, debugging, running tests, and managing projects entirely through command-line interaction. Tests both code quality and terminal fluency. Claude Opus 4.7 scores 69.4%, demonstrating significant agentic terminal competence.
DeepSeek V3.2
39.6
gpt-oss-120b
18.7
Full benchmark table
| Benchmark | DeepSeek V3.2 | gpt-oss-120b |
|---|---|---|
Aider polyglot Aider Polyglot · measures how well AI models can edit code across multiple programming languages using the Aider coding assistant framework. | 74.2 | 41.8 |
APEX-Agents APEX-Agents · evaluates AI agents on complex, multi-step tasks requiring planning, tool use, and autonomous decision-making in realistic environments. | 7.0 | 4.7 |
Chatbot Arena Elo · Overall | 1425.0 | 1352.7 |
Chess Puzzles Chess Puzzles · tests strategic and tactical reasoning by having models solve chess puzzle positions, evaluating lookahead and pattern recognition abilities. | 14.0 | 20.0 |
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 77.9 | 67.7 |
LiveBench · Agentic Coding | 46.7 | 16.7 |
LiveBench · Coding | 75.7 | 60.2 |
LiveBench · Data Analysis | 45.0 | 38.8 |
LiveBench · If | 23.1 | 50.3 |
LiveBench · Language | 64.2 | 48.6 |
LiveBench · Mathematics | 64.0 | 68.9 |
LiveBench · Overall | 51.8 | 46.1 |
LiveBench · Reasoning | 44.3 | 39.2 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 87.8 | 88.9 |
SimpleQA Verified SimpleQA Verified · short factual questions with verified answers, measuring factual accuracy and the tendency to hallucinate or provide incorrect information. | 27.5 | 13.9 |
Terminal Bench Terminal-Bench 2.0 · evaluates AI agents on real terminal-based coding tasks · writing scripts, debugging, running tests, and managing projects entirely through command-line interaction. Tests both code quality and terminal fluency. Claude Opus 4.7 scores 69.4%, demonstrating significant agentic terminal competence. | 39.6 | 18.7 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.21 | $0.32 | 131K tokens (~66 books) | $2.41 | |
| $0.04 | $0.18 | 131K tokens (~66 books) | $0.72 |