Gemma 4 26B A4B vs Mistral Large 4
Mistral Large 4 leads Gemma 4 26B A4B on the Artificial Analysis Intelligence Index, 38.4 to 16.7, and Gemma 4 26B A4B costs 7.0x less per output token ($0.60 vs $4.18 per million). Updated October 22, 2026; 41 benchmarks have a result for both.
Gemma 4 26B A4B or Mistral Large 4: which to pick
Only Mistral Large 4 has a coding score, 56.4 on the Vibe Coding Index; Gemma 4 26B A4B has none, so the two cannot be ranked on coding.
Pick Gemma 4 26B A4B for output tokens 7.0x cheaper ($0.60 vs $4.18 per million) and work measured by LMArena Text: expert or LMArena Text: hard prompts in English, where it leads.
- Shared results
- 41
- Gemma 4 26B A4B only
- 14
- Mistral Large 4 only
- 40
- Like-for-like categories
- 6 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
Only Mistral Large 4 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Mistral Large 4
Mistral Large 4 leads, 38.4 against 16.7.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Gemma 4 26B A4B has a AA Agentic Index result, 2.9.
Directional only
Web design
Design Arena: websites
No call
Only Mistral Large 4 has a Design Arena: websites result, 1257.
Directional only
Long documents
Listed context window
Mistral Large 4
Mistral Large 4 takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemma 4 26B A4B
Gemma 4 26B A4B $0.0004, Mistral Large 4 $0.0034 per turn.
List prices
At a glance
- Coding index
- Gemma 4 26B A4B not benchmarked, Mistral Large 4 56.4 from 5 benchmarks.
- Widest category
- Coding, 16.1 points apart on average over 7 shared benchmarks.
- Widest single gap
- LMArena WebDev: React: Gemma 4 26B A4B 1351 against Mistral Large 4 1559, 34.6 points apart on a 0 to 100 scale.
- Output price
- Gemma 4 26B A4B $0.60 against Mistral Large 4 $4.18 per million output tokens, 7.0x apart.
- Context window
- Gemma 4 26B A4B takes 262K tokens, Mistral Large 4 1.05M.
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 | Gemma 4 26B A4B | Bars | Mistral Large 4 | Ties |
|---|---|---|---|---|
| Coding | 0 | 7 | ||
| Intelligence | 0 | 2 | ||
| Reasoning | 2 | 4 | ||
| Math | 2 | 1 | ||
| Knowledge | 1 | 3 | ||
| General | 8 | 11 | ||
| All shared boards | 13 | 28 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index07
| Benchmark | Gemma 4 26B A4B | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 60.0% | Only Mistral Large 4 measured |
| LMArena WebDev | 1360 | 1543 | Mistral Large 4 |
| AA Coding Index | 39.3 | Not measured | Only Gemma 4 26B A4B measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 27.8% | Only Mistral Large 4 measured |
| Vibe Code Bench (Vals AI) | Not measured | 78.4% | Only Mistral Large 4 measured |
| Code migration (Vals AI) | Not measured | 30.6% | Only Mistral Large 4 measured |
| IOI (Vals AI) | Not measured | 45.3% | Only Mistral Large 4 measured |
| SWE-bench Multimodal (Vals AI) | Not measured | 33.1% | Only Mistral Large 4 measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 14.3% | Only Mistral Large 4 measured |
| SciCode | 40.0% | 54.2% | Mistral Large 4 |
| Terminal-Bench Hard (Artificial Analysis run) | 25.0% | Not measured | Only Gemma 4 26B A4B measured |
| FrontierCode | Not measured | 39.4% | Only Mistral Large 4 measured |
| WeirdML | 35.2% | Not measured | Only Gemma 4 26B A4B measured |
| ALE-Bench | 927.2 | 1213.2 | Mistral Large 4 |
| LMArena Text: coding | 1446 | 1478 | Mistral Large 4 |
| LMArena Text: software and IT | 1454 | 1467 | Mistral Large 4 |
| LMArena WebDev: React | 1351 | 1559 | Mistral Large 4 |
| LMArena WebDev: HTML | 1362 | 1487 | Mistral Large 4 |
| Neither model has a result on the other 21 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemma 4 26B A4B | Mistral Large 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 16.7 | 38.4 | Mistral Large 4 |
| Epoch Capabilities Index | 141.9 | 150.0 | Mistral Large 4 |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
| Benchmark | Gemma 4 26B A4B | Mistral Large 4 | Leader |
|---|---|---|---|
| AA Agentic Index | 2.9 | Not measured | Only Gemma 4 26B A4B measured |
| LiveBench research | Not measured | 28.1% | Only Mistral Large 4 measured |
| LiveBench browser | Not measured | 8.0% | Only Mistral Large 4 measured |
| LiveBench long agentic | Not measured | 11.8% | Only Mistral Large 4 measured |
| Finance Agent (Vals AI) | Not measured | 54.7% | Only Mistral Large 4 measured |
| Tax Agent Bench (Vals AI) | Not measured | 30.4% | Only Mistral Large 4 measured |
| Legal Research Bench (Vals AI) | Not measured | 31.7% | Only Mistral Large 4 measured |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 17.5% | Only Mistral Large 4 measured |
| Excel Modeling Benchmark (Vals AI) | Not measured | 56.2% | Only Mistral Large 4 measured |
| BioMysteryBench (Vals AI) | Not measured | 67.0% | Only Mistral Large 4 measured |
| τ²-Bench Telecom | 43.6% | Not measured | Only Gemma 4 26B A4B measured |
| Neither model has a result on the other 30 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index24
| Benchmark | Gemma 4 26B A4B | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench reasoning | Not measured | 83.9% | Only Mistral Large 4 measured |
| MysteryMechanism (Vals AI) | Not measured | 12.2% | Only Mistral Large 4 measured |
| GPQA Diamond (Artificial Analysis run) | 79.2% | Not measured | Only Gemma 4 26B A4B measured |
| Humanity's Last Exam (Artificial Analysis run) | 19.3% | 35.0% | Mistral Large 4 |
| GPQA Diamond (Epoch AI run) | 73.2% | 88.1% | Mistral Large 4 |
| Chess puzzles | Not measured | 33.0% | Only Mistral Large 4 measured |
| Mystery game puzzles | Not measured | 17.0% | Only Mistral Large 4 measured |
| LMArena Text: hard prompts | 1438 | 1444 | Mistral Large 4 |
| LMArena Text: expert | 1447 | 1444 | Gemma 4 26B A4B |
| LMArena Text: hard prompts in English | 1448 | 1442 | Gemma 4 26B A4B |
| LMArena Vision: diagrams | 1264 | 1288 | Mistral Large 4 |
| LMArena Vision: homework | 1293 | Not measured | Only Gemma 4 26B A4B measured |
| Neither model has a result on the other 10 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index21
| Benchmark | Gemma 4 26B A4B | Mistral Large 4 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 82.2% | 98.3% | Mistral Large 4 |
| FrontierMath, tiers 1 to 3 | Not measured | 58.6% | Only Mistral Large 4 measured |
| FrontierMath, tier 4 | Not measured | 26.8% | Only Mistral Large 4 measured |
| ProofBench | Not measured | 10.0% | Only Mistral Large 4 measured |
| LMArena Text: math | 1470 | 1469 | Gemma 4 26B A4B |
| LMArena Text: mathematical work | 1475 | 1462 | Gemma 4 26B A4B |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index13
| Benchmark | Gemma 4 26B A4B | Mistral Large 4 | Leader |
|---|---|---|---|
| MedCode (Vals AI) | Not measured | 40.7% | Only Mistral Large 4 measured |
| SimpleQA Verified | Not measured | 20.0% | Only Mistral Large 4 measured |
| LMArena Text: science | 1446 | 1448 | Mistral Large 4 |
| LMArena Text: medicine and healthcare | 1428 | 1433 | Mistral Large 4 |
| LMArena Text: legal and government | 1457 | 1425 | Gemma 4 26B A4B |
| LMArena Text: business and finance | 1429 | 1439 | Mistral Large 4 |
| FACTS Benchmark Suite | 42.7% | Not measured | Only Gemma 4 26B A4B measured |
| Neither model has a result on the other 11 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Gemma 4 26B A4B | Mistral Large 4 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1257 | Only Mistral Large 4 measured |
| Design Arena: UI components | Not measured | 1272 | Only Mistral Large 4 measured |
| Design Arena: game dev | Not measured | 1225 | Only Mistral Large 4 measured |
| Design Arena: data viz | Not measured | 1275 | Only Mistral Large 4 measured |
| Design Arena: 3D | Not measured | 1252 | Only Mistral Large 4 measured |
| Design Arena: all code categories | Not measured | 1259 | Only Mistral Large 4 measured |
| Design Arena: SVG | Not measured | 1232 | Only Mistral Large 4 measured |
| Design Arena: ASCII art | Not measured | 1202 | Only Mistral Large 4 measured |
| LiveBench design | Not measured | 65.6% | Only Mistral Large 4 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index811
| Benchmark | Gemma 4 26B A4B | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 76.5% | Only Mistral Large 4 measured |
| MedScribe (Vals AI) | Not measured | 80.4% | Only Mistral Large 4 measured |
| IFBench | 72.4% | Not measured | Only Gemma 4 26B A4B measured |
| Long context reasoning (AA-LCR) | 65.7% | 81.3% | Mistral Large 4 |
| DTBench | 74.9% | 88.2% | Mistral Large 4 |
| LMCA | 29.7% | 35.8% | Mistral Large 4 |
| Surface Evolver Bench | Not measured | 28.1% | Only Mistral Large 4 measured |
| Furniture assembly | Not measured | 20.8% | Only Mistral Large 4 measured |
| LMArena Text | 1434 | 1431 | Gemma 4 26B A4B |
| LMArena Text: instruction following | 1420 | 1422 | Mistral Large 4 |
| LMArena Text: creative writing | 1400 | 1363 | Gemma 4 26B A4B |
| LMArena Vision | 1260 | 1272 | Mistral Large 4 |
| LMArena Text: English | 1444 | 1433 | Gemma 4 26B A4B |
| LMArena Text: non-English | 1421 | 1422 | Mistral Large 4 |
| LMArena Text: Chinese | 1495 | 1492 | Gemma 4 26B A4B |
| LMArena Text: Japanese | Not measured | 1415 | Only Mistral Large 4 measured |
| LMArena Text: French | 1460 | 1492 | Mistral Large 4 |
| LMArena Text: Spanish | 1415 | 1455 | Mistral Large 4 |
| LMArena Text: Russian | 1434 | 1417 | Gemma 4 26B A4B |
| LMArena Text: multi-turn | 1441 | 1435 | Gemma 4 26B A4B |
| LMArena Text: longer queries | 1427 | 1428 | Mistral Large 4 |
| LMArena Text: writing and language | 1405 | 1386 | Gemma 4 26B A4B |
| LMArena Text: entertainment and media | 1403 | 1378 | Gemma 4 26B A4B |
| LMArena Vision: English | 1256 | 1283 | Mistral Large 4 |
| LMArena Vision: Chinese | 1312 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Vision: reading text | 1268 | 1284 | Mistral Large 4 |
| LMArena Vision: humor | 1272 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Vision: captioning | 1297 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Vision: recognizing things | 1191 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Vision: creative writing | 1256 | Not measured | Only Gemma 4 26B A4B measured |
| Neither model has a result on the other 16 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemma 4 26B A4B | Mistral Large 4 | 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
Gemma 4 26B A4B costs less
Repository review
50K input + 3K output tokens
Gemma 4 26B A4B costs less
Agent loop
200K input + 10K output tokens
Gemma 4 26B A4B 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 Gemma 4 26B A4B | Mistral Large 4 |
|---|---|---|
| Maker | Mistral AI | |
| Weights | Open weights | No public weights listed |
| Released | April 3, 2026 | October 6, 2026 |
| Context window | 262K | 1.05M |
| Input $/Mtok | $0.15 | $1.36 |
| Output $/Mtok | $0.60 | $4.18 |
| Coding index | Not benchmarked | 56.4 |
| Independent measurements behind it | 1 | 5 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemma 4 26B A4B better than Mistral Large 4 for coding?
Only Mistral Large 4 has a coding score, 56.4 on the Vibe Coding Index; Gemma 4 26B A4B has none, so the two cannot be ranked on coding. Pick Gemma 4 26B A4B for output tokens 7.0x cheaper ($0.60 vs $4.18 per million) and work measured by LMArena Text: expert or LMArena Text: hard prompts in English, where it leads.
Which is cheaper, Gemma 4 26B A4B or Mistral Large 4?
Gemma 4 26B A4B costs $0.15 per million input tokens and $0.60 per million output tokens; Mistral Large 4 costs $1.36 and $4.18. Cost per solved task is known for neither of them.
Which has the bigger context window, Gemma 4 26B A4B or Mistral Large 4?
Mistral Large 4, with 1.05M tokens against 262K.
How many benchmarks is the Gemma 4 26B A4B vs Mistral Large 4 comparison based on?
41 benchmarks have a result for both models as of October 22, 2026. Gemma 4 26B A4B's coding index rests on 1 independent benchmark and Mistral Large 4's on 5. Where only one model has a result, the page says so instead of naming a winner.