Compare · ModelsLive · 2 picked · head to head
DeepSeek V4 Pro vs gpt-oss-20b (free)
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
DeepSeek V4 Pro wins on 3/3 benchmarks
DeepSeek V4 Pro wins 3 of 3 shared benchmarks. Leads in speed.
Category leads
speed·DeepSeek V4 Pro
Hype vs Reality
Attention vs performance
DeepSeek V4 Pro
#89 by perf·#6 by attention
gpt-oss-20b (free)
#31 by perf·no signal
Best value
DeepSeek V4 Pro
DeepSeek V4 Pro
172.1 pts/$
$0.31/M
gpt-oss-20b (free)
n/a
$0.00/M
Vendor risk
Mixed exposure
One or more vendors flagged
DeepSeek
$3.4B·Tier 1
OpenAI
$840.0B·Tier 1
Head to head
3 benchmarks · 2 models
DeepSeek V4 Progpt-oss-20b (free)
Artificial Analysis · Agentic Index
DeepSeek V4 Pro leads by +33.3
Artificial Analysis Agentic Index · a composite score measuring how well a model performs in agentic workflows · multi-step tool use, planning, error recovery, and autonomous task completion. Aggregates results from multiple agentic benchmarks including SWE-bench, tool-use tests, and planning evaluations. The canonical single-number metric for "how good is this model as an agent?"
DeepSeek V4 Pro
36.4
gpt-oss-20b (free)
3.1
Artificial Analysis · Coding Index
DeepSeek V4 Pro leads by +38.7
Artificial Analysis Coding Index · a composite score that aggregates performance across multiple coding benchmarks into a single index. Tracks code generation quality, debugging ability, multi-language competence, and real-world software engineering tasks. Used by Artificial Analysis to rank model coding capability in a normalized, comparable format. Useful for developers choosing between models for coding-heavy workloads.
DeepSeek V4 Pro
59.4
gpt-oss-20b (free)
20.7
Artificial Analysis · Quality Index
DeepSeek V4 Pro leads by +21.1
DeepSeek V4 Pro
36.0
gpt-oss-20b (free)
14.9
Full benchmark table
| Benchmark | DeepSeek V4 Pro | gpt-oss-20b (free) |
|---|---|---|
Artificial Analysis · Agentic Index Artificial Analysis Agentic Index · a composite score measuring how well a model performs in agentic workflows · multi-step tool use, planning, error recovery, and autonomous task completion. Aggregates results from multiple agentic benchmarks including SWE-bench, tool-use tests, and planning evaluations. The canonical single-number metric for "how good is this model as an agent?" | 36.4 | 3.1 |
Artificial Analysis · Coding Index Artificial Analysis Coding Index · a composite score that aggregates performance across multiple coding benchmarks into a single index. Tracks code generation quality, debugging ability, multi-language competence, and real-world software engineering tasks. Used by Artificial Analysis to rank model coding capability in a normalized, comparable format. Useful for developers choosing between models for coding-heavy workloads. | 59.4 | 20.7 |
Artificial Analysis · Quality Index | 36.0 | 14.9 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.21 | $0.42 | 1.0M tokens (~524 books) | $2.61 | |
| $0.00 | $0.00 | 131K tokens (~66 books) | — |