Model comparison
Llama 4 Maverick vs Mercury 2
Mercury 2 is the stronger model overall, scoring 39.1 to 30.9 on the Noometry Index.
Last verified . 16 shared benchmarks.
MetaSummary
- They share 16 benchmarks with published results for both. Llama 4 Maverick scores higher in 1 category and Mercury 2 in 6 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Mercury 2 leads 53.8 to 38.8.
- The biggest single-benchmark swing is WeirdML: 24.5% for Llama 4 Maverick and 43.2% for Mercury 2.
- Llama 4 Maverick is cheaper at $0.19 / $0.65 per million input/output tokens, against $0.25 / $0.75 for Mercury 2.
- Llama 4 Maverick has downloadable open weights; the other is API-only.
Side by side
| Llama 4 Maverick | Mercury 2 | |
|---|---|---|
| Provider | Meta | Inception |
| Noometry Index | 30.9 | 39.1 |
| Released | 2025-04-05 | 2026-02-20 |
| Weights | Open | Proprietary |
| Context window | 128K | 128K |
| Max output | 4K | 50K |
| Input $ / M tokens | $0.19 | $0.25 |
| Output $ / M tokens | $0.65 | $0.75 |
| Results tracked | 54 | 17 |
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Category by category
Coding Mercury 2 leads
Llama 4 Maverick: 26.6 (#324), Mercury 2: 33.5 (#255)
| Benchmark | Llama 4 Maverick | Mercury 2 |
|---|---|---|
| SciCode | 33.1% | 38.7% |
| WeirdML | 24.5% | 43.2% |
| LMArena Coding | 1302 | 1391 |
| ALE-Bench | 172.97 | 785.58 |
| SWE-bench Verified (bash only) | 21% | — |
| Aider Polyglot | 15.6% | — |
| LMArena WebDev | — | 1171 |
| BigCodeBench Instruct | 49.7% | — |
| BigCodeBench Complete | 61.4% | — |
Agentic & Tool Use Not comparable
Llama 4 Maverick: 28.2 (#91), Mercury 2: —
| Benchmark | Llama 4 Maverick | Mercury 2 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 37.3% | — |
Reasoning Mercury 2 leads
Llama 4 Maverick: 10.1 (#342), Mercury 2: 23.8 (#170)
| Benchmark | Llama 4 Maverick | Mercury 2 |
|---|---|---|
| CritPt | 0% | 0.8% |
| LMArena Hard Prompts | 1281 | 1362 |
| ARC-AGI-2 | 0% | — |
| SimpleBench | 27.7% | — |
| Kagi LLM Benchmark | 55.9% | — |
| NYT Connections (extended) | 8% | — |
| ARC-AGI-1 | 4.4% | — |
| EnigmaEval | 0.6% | — |
| DTBench | 61.9% | — |
| LMCA | 15.9% | — |
| Epoch Capabilities Index | 132.2 | — |
| ForecastBench | 57.5 | — |
Math Not comparable
Llama 4 Maverick: 26.0 (#262), Mercury 2: —
| Benchmark | Llama 4 Maverick | Mercury 2 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 20.6% | — |
| Omni-MATH | 42.2% | — |
| LMArena Math | 1299 | — |
| MATH Level 5 | 73% | — |
| FrontierMath (Feb 2025 set) | 0.7% | — |
Knowledge Mercury 2 leads
Llama 4 Maverick: 33.4 (#204), Mercury 2: 36.2 (#172)
| Benchmark | Llama 4 Maverick | Mercury 2 |
|---|---|---|
| Vectara Hallucination Rate | 8.2% | 12.3% |
| LMArena Expert | 1259 | 1358 |
| GPQA Diamond | 67% | — |
| Humanity's Last Exam | 5.7% | — |
| MMLU-Pro | 81% | — |
| Confabulations | 22.6% | — |
| GPQA (HELM) | 65% | — |
Multimodal Not comparable
Llama 4 Maverick: 31.6 (#105), Mercury 2: —
| Benchmark | Llama 4 Maverick | Mercury 2 |
|---|---|---|
| LMArena Vision | 1142 | — |
| GeoBench | 52% | — |
| SpatialViz-Bench | 31.8% | — |
Multilingual Mercury 2 leads
Llama 4 Maverick: 42.2 (#195), Mercury 2: 46.6 (#157)
| Benchmark | Llama 4 Maverick | Mercury 2 |
|---|---|---|
| LMArena Non-English | 1269 | 1331 |
| LMArena Chinese | 1277 | 1417 |
| LMArena Russian | 1286 | 1304 |
| LMArena French | 1259 | — |
| LMArena German | 1291 | — |
| LMArena Japanese | 1207 | — |
| LMArena Korean | 1203 | — |
| LMArena Spanish | 1293 | — |
Instruction Following Llama 4 Maverick leads
Llama 4 Maverick: 71.7 (#146), Mercury 2: 70.2 (#165)
| Benchmark | Llama 4 Maverick | Mercury 2 |
|---|---|---|
| LMArena Instruction Following | 1267 | 1329 |
| IFEval | 90.8% | — |
Long Context Mercury 2 leads
Llama 4 Maverick: 31.4 (#279), Mercury 2: 40.5 (#154)
| Benchmark | Llama 4 Maverick | Mercury 2 |
|---|---|---|
| LMArena Longer Query | 1280 | 1330 |
| Fiction.LiveBench | 46.2% | — |
Writing & Preference Mercury 2 leads
Llama 4 Maverick: 38.8 (#252), Mercury 2: 53.8 (#155)
| Benchmark | Llama 4 Maverick | Mercury 2 |
|---|---|---|
| LMArena Text | 1287 | 1355 |
| LMArena Creative Writing | 1267 | 1289 |
| LMArena Multi-Turn | 1289 | 1358 |
| Short-Story Creative Writing | 62% | — |
| EQ-Bench Creative Writing | 860 | — |
| WildBench | 80% | — |
Frequently asked questions
Is Llama 4 Maverick better than Mercury 2?
Mercury 2 is the stronger model overall, scoring 39.1 to 30.9 on the Noometry Index.
Which is cheaper, Llama 4 Maverick or Mercury 2?
Llama 4 Maverick is cheaper. It lists at $0.19 per million input tokens and $0.65 per million output tokens; Mercury 2 lists at $0.25 and $0.75.
Is Llama 4 Maverick or Mercury 2 better for coding?
Mercury 2 scores higher on coding benchmarks: 33.5 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 Mercury 2 share?
16 benchmarks have published results for both models. Llama 4 Maverick has 54 scored results on Noometry and Mercury 2 has 17.