Gemini 2.5 Flash vs Llama 4 Maverick
Gemini 2.5 Flash leads Llama 4 Maverick on the Artificial Analysis Intelligence Index, 15.5 to 9.3, and Llama 4 Maverick costs 2.5x less per output token ($1.00 vs $2.50 per million). Updated October 22, 2026; 64 benchmarks have a result for both.
Gemini 2.5 Flash or Llama 4 Maverick: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Gemini 2.5 Flash for a lower cost per solved task ($0.466 against $1.491) and a larger context window (1.05M against 524K tokens).
- Shared results
- 64
- Gemini 2.5 Flash only
- 9
- Llama 4 Maverick only
- 21
- Like-for-like categories
- 8 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
Gemini 2.5 Flash
Gemini 2.5 Flash leads, 15.5 against 9.3.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Llama 4 Maverick has a AA Agentic Index result, 0.6.
Directional only
Reasoning
GPQA Diamond
No call
Only Llama 4 Maverick has a GPQA Diamond result, 69.4%.
Directional only
Math
AIME
No call
Only Llama 4 Maverick has a AIME result, 25.2%.
Directional only
Knowledge
MMLU Pro
No call
Only Llama 4 Maverick has a MMLU Pro result, 79.4%.
Directional only
Web design
Design Arena: websites
Gemini 2.5 Flash
Gemini 2.5 Flash leads, 1074 against 871.
Same board, both measured
Long documents
Listed context window
Gemini 2.5 Flash
Gemini 2.5 Flash takes 1.05M tokens against 524K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Llama 4 Maverick
Gemini 2.5 Flash $0.0015, Llama 4 Maverick $0.0008 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Gemini 2.5 Flash
Gemini 2.5 Flash $0.466, Llama 4 Maverick $1.491.
Published attempt cost and pass rate
At a glance
- Coding index
- Gemini 2.5 Flash not benchmarked, Llama 4 Maverick not benchmarked.
- Widest category
- Math, 37.0 points apart on average over 4 shared benchmarks.
- Widest single gap
- AA Math Index: Gemini 2.5 Flash 73.3 against Llama 4 Maverick 19.3, 54.0 points apart on a 0 to 100 scale.
- Output price
- Gemini 2.5 Flash $2.50 against Llama 4 Maverick $1.00 per million output tokens, 2.5x apart.
- Context window
- Gemini 2.5 Flash takes 1.05M tokens, Llama 4 Maverick 524K.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Gemini 2.5 Flash | Bars | Llama 4 Maverick | Ties |
|---|---|---|---|---|
| Coding | 5 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 11 | 0 | ||
| Math | 4 | 0 | ||
| Knowledge | 6 | 0 | ||
| Web design | 6 | 0 | ||
| General | 29 | 0 | ||
| All shared boards | 64 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index50
| Benchmark | Gemini 2.5 Flash | Llama 4 Maverick | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 15.6% | Only Llama 4 Maverick measured |
| SWE-bench Verified | 28.7% | 21.0% | Gemini 2.5 Flash |
| AA Coding Index | Not measured | 16.3 | Only Llama 4 Maverick measured |
| LiveCodeBench (Vals AI) | Not measured | 47.3% | Only Llama 4 Maverick measured |
| LiveCodeBench (Artificial Analysis run) | 69.5% | 39.7% | Gemini 2.5 Flash |
| SciCode | Not measured | 31.7% | Only Llama 4 Maverick measured |
| Terminal-Bench Hard (Artificial Analysis run) | 13.6% | 6.8% | Gemini 2.5 Flash |
| Terminal-Bench | 17.1% | Not measured | Only Gemini 2.5 Flash measured |
| WeirdML | Not measured | 24.5% | Only Llama 4 Maverick measured |
| ALE-Bench | Not measured | 173.0 | Only Llama 4 Maverick measured |
| LMArena Text: coding | 1423 | 1301 | Gemini 2.5 Flash |
| LMArena Text: software and IT | 1425 | 1299 | Gemini 2.5 Flash |
| Neither model has a result on the other 27 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 2.5 Flash | Llama 4 Maverick | Leader |
|---|---|---|---|
| AA Intelligence Index | 15.5 | 9.3 | Gemini 2.5 Flash |
| Epoch Capabilities Index | 142.9 | 132.2 | Gemini 2.5 Flash |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 2.5 Flash | Llama 4 Maverick | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 0.6 | Only Llama 4 Maverick measured |
| τ²-Bench Telecom | 31.6% | 17.8% | Gemini 2.5 Flash |
| BALROG | 33.5% | Not measured | Only Gemini 2.5 Flash measured |
| Vending-Bench 2 | $549 | Not measured | Only Gemini 2.5 Flash measured |
| Berkeley Function Calling Leaderboard (BFCL) | 56.2% | Not measured | Only Gemini 2.5 Flash measured |
| BrowseComp-Plus | 39.9% | Not measured | Only Gemini 2.5 Flash measured |
| Neither model has a result on the other 35 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index110
| Benchmark | Gemini 2.5 Flash | Llama 4 Maverick | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 69.4% | Only Llama 4 Maverick measured |
| MMMU Pro (Vals AI) | Not measured | 71.7% | Only Llama 4 Maverick measured |
| GPQA Diamond (Artificial Analysis run) | 79.0% | 67.1% | Gemini 2.5 Flash |
| Humanity's Last Exam (Artificial Analysis run) | 12.1% | 4.9% | Gemini 2.5 Flash |
| ARC-AGI | 33.3% | 4.4% | Gemini 2.5 Flash |
| ARC-AGI-2 | 2.5% | 0.0% | Gemini 2.5 Flash |
| SimpleBench | 41.2% | 27.7% | Gemini 2.5 Flash |
| LMArena Text: hard prompts | 1422 | 1281 | Gemini 2.5 Flash |
| LMArena Text: expert | 1426 | 1259 | Gemini 2.5 Flash |
| LMArena Text: hard prompts in English | 1420 | 1295 | Gemini 2.5 Flash |
| LMArena Vision: diagrams | 1245 | 1134 | Gemini 2.5 Flash |
| LMArena Vision: homework | 1244 | 1164 | Gemini 2.5 Flash |
| Kagi LLM Benchmark | 56.8% | 55.9% | Gemini 2.5 Flash |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Gemini 2.5 Flash | Llama 4 Maverick | Leader |
|---|---|---|---|
| AIME | Not measured | 25.2% | Only Llama 4 Maverick measured |
| MATH 500 (Vals AI) | Not measured | 85.2% | Only Llama 4 Maverick measured |
| MGSM (Vals AI) | Not measured | 92.4% | Only Llama 4 Maverick measured |
| AA Math Index | 73.3 | 19.3 | Gemini 2.5 Flash |
| AIME 2025 (Artificial Analysis run) | 73.3% | 19.3% | Gemini 2.5 Flash |
| LMArena Text: math | 1411 | 1299 | Gemini 2.5 Flash |
| LMArena Text: mathematical work | 1422 | 1295 | Gemini 2.5 Flash |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Gemini 2.5 Flash | Llama 4 Maverick | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 79.4% | Only Llama 4 Maverick measured |
| LegalBench (Vals AI) | Not measured | 77.8% | Only Llama 4 Maverick measured |
| CorpFin (Vals AI) | Not measured | 49.7% | Only Llama 4 Maverick measured |
| TaxEval (Vals AI) | Not measured | 66.6% | Only Llama 4 Maverick measured |
| MortgageTax (Vals AI) | Not measured | 58.5% | Only Llama 4 Maverick measured |
| MedQA (Vals AI) | Not measured | 43.3% | Only Llama 4 Maverick measured |
| MedCode (Vals AI) | 40.4% | 36.5% | Gemini 2.5 Flash |
| MMLU Pro (Artificial Analysis run) | 83.2% | 80.9% | Gemini 2.5 Flash |
| GeoBench | Not measured | 52.0% | Only Llama 4 Maverick measured |
| LMArena Text: science | 1433 | 1288 | Gemini 2.5 Flash |
| LMArena Text: medicine and healthcare | 1428 | 1275 | Gemini 2.5 Flash |
| LMArena Text: legal and government | 1430 | 1286 | Gemini 2.5 Flash |
| LMArena Text: business and finance | 1404 | 1260 | Gemini 2.5 Flash |
| FACTS Benchmark Suite | 47.2% | Not measured | Only Gemini 2.5 Flash measured |
| Neither model has a result on the other 4 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Gemini 2.5 Flash | Llama 4 Maverick | Leader |
|---|---|---|---|
| Design Arena: websites | 1074 | 871 | Gemini 2.5 Flash |
| Design Arena: UI components | 1002 | 896 | Gemini 2.5 Flash |
| Design Arena: game dev | 1004 | 837 | Gemini 2.5 Flash |
| Design Arena: data viz | 1060 | 882 | Gemini 2.5 Flash |
| Design Arena: 3D | 1020 | 900 | Gemini 2.5 Flash |
| Design Arena: all code categories | 1059 | 879 | Gemini 2.5 Flash |
| Design Arena: SVG | 1020 | Not measured | Only Gemini 2.5 Flash measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index290
| Benchmark | Gemini 2.5 Flash | Llama 4 Maverick | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 44.8% | 35.7% | Gemini 2.5 Flash |
| MedScribe (Vals AI) | 83.0% | 54.2% | Gemini 2.5 Flash |
| IFBench | 50.3% | 43.0% | Gemini 2.5 Flash |
| Long context reasoning (AA-LCR) | 65.3% | 50.0% | Gemini 2.5 Flash |
| DTBench | 76.5% | 61.9% | Gemini 2.5 Flash |
| LMCA | 27.5% | 15.9% | Gemini 2.5 Flash |
| Fiction.LiveBench | Not measured | 46.2% | Only Llama 4 Maverick measured |
| Creative writing (Lech Mazur) | Not measured | 62.0% | Only Llama 4 Maverick measured |
| LMArena Text | 1417 | 1287 | Gemini 2.5 Flash |
| LMArena Text: instruction following | 1405 | 1267 | Gemini 2.5 Flash |
| LMArena Text: creative writing | 1400 | 1266 | Gemini 2.5 Flash |
| LMArena Vision | 1235 | 1142 | Gemini 2.5 Flash |
| LMArena Text: English | 1418 | 1303 | Gemini 2.5 Flash |
| LMArena Text: non-English | 1409 | 1269 | Gemini 2.5 Flash |
| LMArena Text: Chinese | 1449 | 1277 | Gemini 2.5 Flash |
| LMArena Text: German | 1417 | 1291 | Gemini 2.5 Flash |
| LMArena Text: Japanese | 1396 | 1206 | Gemini 2.5 Flash |
| LMArena Text: Korean | 1385 | 1203 | Gemini 2.5 Flash |
| LMArena Text: French | 1432 | 1259 | Gemini 2.5 Flash |
| LMArena Text: Spanish | 1422 | 1293 | Gemini 2.5 Flash |
| LMArena Text: Russian | 1415 | 1286 | Gemini 2.5 Flash |
| LMArena Text: Polish | 1413 | 1275 | Gemini 2.5 Flash |
| LMArena Text: multi-turn | 1408 | 1289 | Gemini 2.5 Flash |
| LMArena Text: longer queries | 1419 | 1280 | Gemini 2.5 Flash |
| LMArena Text: writing and language | 1405 | 1277 | Gemini 2.5 Flash |
| LMArena Text: entertainment and media | 1393 | 1250 | Gemini 2.5 Flash |
| LMArena Vision: English | 1239 | 1150 | Gemini 2.5 Flash |
| LMArena Vision: Chinese | 1284 | 1141 | Gemini 2.5 Flash |
| LMArena Vision: reading text | 1237 | 1143 | Gemini 2.5 Flash |
| LMArena Vision: humor | 1225 | 1100 | Gemini 2.5 Flash |
| LMArena Vision: captioning | 1277 | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Vision: recognizing things | 1252 | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Vision: creative writing | 1241 | 1099 | Gemini 2.5 Flash |
| Neither model has a result on the other 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 2.5 Flash | Llama 4 Maverick | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Llama 4 Maverick costs less
Repository review
50K input + 3K output tokens
Llama 4 Maverick costs less
Agent loop
200K input + 10K output tokens
Llama 4 Maverick costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Google Gemini 2.5 Flash | Meta Llama 4 Maverick |
|---|---|---|
| Maker | Meta Llama | |
| Weights | No public weights listed | Open weights |
| Released | June 17, 2025 | April 5, 2025 |
| Context window | 1.05M | 524K |
| Input $/Mtok | $0.30 | $0.35 |
| Output $/Mtok | $2.50 | $1.00 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | $0.466 | $1.491 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 2.5 Flash better than Llama 4 Maverick for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemini 2.5 Flash for a lower cost per solved task ($0.466 against $1.491) and a larger context window (1.05M against 524K tokens).
Which is cheaper, Gemini 2.5 Flash or Llama 4 Maverick?
Gemini 2.5 Flash costs $0.30 per million input tokens and $2.50 per million output tokens; Llama 4 Maverick costs $0.35 and $1.00. Per solved SWE-bench Verified task, Gemini 2.5 Flash costs $0.466 and Llama 4 Maverick $1.491.
Which has the bigger context window, Gemini 2.5 Flash or Llama 4 Maverick?
Gemini 2.5 Flash, with 1.05M tokens against 524K.
How many benchmarks is the Gemini 2.5 Flash vs Llama 4 Maverick comparison based on?
64 benchmarks have a result for both models as of October 22, 2026. Gemini 2.5 Flash's coding index rests on 0 independent benchmarks and Llama 4 Maverick's on 0. Where only one model has a result, the page says so instead of naming a winner.