Compare · ModelsLive · 2 picked · head to head
Llama 4 Maverick vs gpt-oss-20b (free)
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
gpt-oss-20b (free) wins on 3/3 benchmarks
gpt-oss-20b (free) wins 3 of 3 shared benchmarks. Leads in speed.
Category leads
speed·gpt-oss-20b (free)
Hype vs Reality
Attention vs performance
Llama 4 Maverick
#195 by perf·no signal
gpt-oss-20b (free)
#27 by perf·no signal
Best value
Llama 4 Maverick
Llama 4 Maverick
74.7 pts/$
$0.38/M
gpt-oss-20b (free)
—
$0.00/M
Vendor risk
Who is behind the model
Meta AI
$1.50T·Tier 1
OpenAI
$840.0B·Tier 1
Head to head
3 benchmarks · 2 models
Llama 4 Maverickgpt-oss-20b (free)
Artificial Analysis · Agentic Index
gpt-oss-20b (free) leads by +20.4
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?"
Llama 4 Maverick
7.2
gpt-oss-20b (free)
27.6
Artificial Analysis · Coding Index
gpt-oss-20b (free) leads by +3.0
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.
Llama 4 Maverick
15.6
gpt-oss-20b (free)
18.5
Artificial Analysis · Quality Index
gpt-oss-20b (free) leads by +6.1
Llama 4 Maverick
18.4
gpt-oss-20b (free)
24.5
Full benchmark table
| Benchmark | Llama 4 Maverick | 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?" | 7.2 | 27.6 |
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. | 15.6 | 18.5 |
Artificial Analysis · Quality Index | 18.4 | 24.5 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
| Model | Input | Output | Context | Projected $/mo |
|---|---|---|---|---|
| $0.15 | $0.60 | 1.0M tokens (~524 books) | $2.62 | |
| $0.00 | $0.00 | 131K tokens (~66 books) | — |