Model comparison
Llama 4 Maverick vs Sonar
Sonar is the stronger model overall, scoring 38.5 to 30.9 on the Noometry Index. Llama 4 Maverick costs 3.3× less per token, which makes it the better buy when Sonar's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Meta
PerplexitySummary
- The widest gap is in writing & preference, where Sonar leads 52.6 to 38.8.
- Llama 4 Maverick is cheaper at $0.19 / $0.65 per million input/output tokens, against $1 / $1 for Sonar.
- Llama 4 Maverick has downloadable open weights; the other is API-only.
Side by side
| Llama 4 Maverick | Sonar | |
|---|---|---|
| Provider | Meta | Perplexity |
| Noometry Index | 30.9 | 38.5 |
| Released | 2025-04-05 | 2024-01-01 |
| Weights | Open | Proprietary |
| Context window | 128K | 128K |
| Max output | 4K | 4K |
| Input $ / M tokens | $0.19 | $1 |
| Output $ / M tokens | $0.65 | $1 |
| Results tracked | 54 | 7 |
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Category by category
Coding Sonar leads
Llama 4 Maverick: 26.6 (#324), Sonar: 35.7 (#221)
| Benchmark | Llama 4 Maverick | Sonar |
|---|---|---|
| SWE-bench Verified (bash only) | 21% | — |
| Aider Polyglot | 15.6% | — |
| SciCode | 33.1% | — |
| WeirdML | 24.5% | — |
| BigCodeBench Instruct | 49.7% | — |
| LiveBench Coding | — | 35.1% |
| LMArena Coding | 1302 | — |
| BigCodeBench Complete | 61.4% | — |
| ALE-Bench | 172.97 | — |
Agentic & Tool Use Not comparable
Llama 4 Maverick: 28.2 (#91), Sonar: —
| Benchmark | Llama 4 Maverick | Sonar |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.3% | — |
Reasoning Sonar leads
Llama 4 Maverick: 10.1 (#342), Sonar: 21.1 (#227)
| Benchmark | Llama 4 Maverick | Sonar |
|---|---|---|
| ARC-AGI-2 | 0% | — |
| SimpleBench | 27.7% | — |
| Kagi LLM Benchmark | 55.9% | — |
| NYT Connections (extended) | 8% | — |
| ARC-AGI-1 | 4.4% | — |
| CritPt | 0% | — |
| EnigmaEval | 0.6% | — |
| LiveBench Reasoning | — | 46.3% |
| LMArena Hard Prompts | 1281 | — |
| DTBench | 61.9% | — |
| LiveBench Data Analysis | — | 37.9% |
| LMCA | 15.9% | — |
| Epoch Capabilities Index | 132.2 | — |
| ForecastBench | 57.5 | — |
| LiveBench | — | 46.9% |
Math Sonar leads
Llama 4 Maverick: 26.0 (#262), Sonar: 33.7 (#200)
| Benchmark | Llama 4 Maverick | Sonar |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 20.6% | — |
| Omni-MATH | 42.2% | — |
| LiveBench Math | — | 41.6% |
| LMArena Math | 1299 | — |
| MATH Level 5 | 73% | — |
| FrontierMath (Feb 2025 set) | 0.7% | — |
Knowledge Not comparable
Llama 4 Maverick: 33.4 (#204), Sonar: —
| Benchmark | Llama 4 Maverick | Sonar |
|---|---|---|
| GPQA Diamond | 67% | — |
| Humanity's Last Exam | 5.7% | — |
| MMLU-Pro | 81% | — |
| Confabulations | 22.6% | — |
| Vectara Hallucination Rate | 8.2% | — |
| GPQA (HELM) | 65% | — |
| LMArena Expert | 1259 | — |
Multimodal Not comparable
Llama 4 Maverick: 31.6 (#105), Sonar: —
| Benchmark | Llama 4 Maverick | Sonar |
|---|---|---|
| LMArena Vision | 1142 | — |
| GeoBench | 52% | — |
| SpatialViz-Bench | 31.8% | — |
Multilingual Not comparable
Llama 4 Maverick: 42.2 (#195), Sonar: —
| Benchmark | Llama 4 Maverick | Sonar |
|---|---|---|
| LMArena Non-English | 1269 | — |
| LMArena Chinese | 1277 | — |
| LMArena French | 1259 | — |
| LMArena German | 1291 | — |
| LMArena Japanese | 1207 | — |
| LMArena Korean | 1203 | — |
| LMArena Russian | 1286 | — |
| LMArena Spanish | 1293 | — |
Instruction Following Too close to call
Llama 4 Maverick: 71.7 (#146), Sonar: 71.4 (#150)
| Benchmark | Llama 4 Maverick | Sonar |
|---|---|---|
| LiveBench Instruction Following | — | 76.2% |
| IFEval | 90.8% | — |
| LMArena Instruction Following | 1267 | — |
Long Context Not comparable
Llama 4 Maverick: 31.4 (#279), Sonar: —
| Benchmark | Llama 4 Maverick | Sonar |
|---|---|---|
| Fiction.LiveBench | 46.2% | — |
| LMArena Longer Query | 1280 | — |
Writing & Preference Sonar leads
Llama 4 Maverick: 38.8 (#252), Sonar: 52.6 (#167)
| Benchmark | Llama 4 Maverick | Sonar |
|---|---|---|
| LMArena Text | 1287 | — |
| LMArena Creative Writing | 1267 | — |
| Short-Story Creative Writing | 62% | — |
| EQ-Bench Creative Writing | 860 | — |
| WildBench | 80% | — |
| LMArena Multi-Turn | 1289 | — |
| LiveBench Language | — | 44.1% |
Frequently asked questions
Is Llama 4 Maverick better than Sonar?
Sonar is the stronger model overall, scoring 38.5 to 30.9 on the Noometry Index. Llama 4 Maverick costs 3.3× less per token, which makes it the better buy when Sonar's lead doesn't matter for your workload.
Which is cheaper, Llama 4 Maverick or Sonar?
Llama 4 Maverick is cheaper. It lists at $0.19 per million input tokens and $0.65 per million output tokens; Sonar lists at $1 and $1.
Is Llama 4 Maverick or Sonar better for coding?
Sonar scores higher on coding benchmarks: 35.7 versus 26.6 in the Noometry coding category.
Which has the bigger context window?
Both accept 128K tokens.
How many benchmarks do Llama 4 Maverick and Sonar share?
0 benchmarks have published results for both models. Llama 4 Maverick has 54 scored results on Noometry and Sonar has 7.