Gemini 4 Argon vs Mistral Large 4
Gemini 4 Argon leads Mistral Large 4 on coding, 81.0 to 56.4 on the Vibe Coding Index, and Mistral Large 4 costs 2.4x less per output token ($4.18 vs $10.00 per million). Updated October 22, 2026; 72 benchmarks have a result for both.
Gemini 4 Argon or Mistral Large 4: which to pick
Pick Gemini 4 Argon for coding: it scores 81.0 on the Vibe Coding Index against 56.4 for Mistral Large 4.
Pick Mistral Large 4 for output tokens 2.4x cheaper ($4.18 vs $10.00 per million) and work measured by Long context reasoning (AA-LCR), where it leads.
- Shared results
- 72
- Gemini 4 Argon only
- 22
- Mistral Large 4 only
- 9
- 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
Gemini 4 Argon
Gemini 4 Argon scores 81.0 against 56.4.
5 benchmarks behind each score
Intelligence
AA Intelligence Index
Gemini 4 Argon
Gemini 4 Argon leads, 52.6 against 38.4.
Same board, both measured
Web design
Design Arena: websites
Gemini 4 Argon
Gemini 4 Argon leads, 1315 against 1257.
Same board, both measured
General
Vals Index
No call
Only Gemini 4 Argon has a Vals Index result, 69.2%.
Directional only
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Large 4
Gemini 4 Argon $0.0070, Mistral Large 4 $0.0034 per turn.
List prices
At a glance
- Coding index
- Gemini 4 Argon 81.0 from 5 benchmarks, Mistral Large 4 56.4 from 5 benchmarks.
- Widest category
- Math, 32.7 points apart on average over 6 shared benchmarks.
- Widest single gap
- ProofBench: Gemini 4 Argon 99.0% against Mistral Large 4 10.0%, 89.0 points apart on a 0 to 100 scale.
- Output price
- Gemini 4 Argon $10.00 against Mistral Large 4 $4.18 per million output tokens, 2.4x apart.
- Context window
- Both take 1.05M tokens.
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 4 Argon | Bars | Mistral Large 4 | Ties |
|---|---|---|---|---|
| Coding | 15 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 9 | 0 | ||
| Reasoning | 9 | 0 | ||
| Math | 6 | 0 | ||
| Knowledge | 6 | 0 | ||
| Web design | 7 | 0 | ||
| General | 17 | 1 | ||
| All shared boards | 71 | 1 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index150
| Benchmark | Gemini 4 Argon | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench coding | 89.7% | 60.0% | Gemini 4 Argon |
| LMArena WebDev | 1678 | 1543 | Gemini 4 Argon |
| Terminal-Bench 4 (Vals AI) | 57.6% | 27.8% | Gemini 4 Argon |
| Vibe Code Bench (Vals AI) | 91.9% | 78.4% | Gemini 4 Argon |
| Code migration (Vals AI) | 68.2% | 30.6% | Gemini 4 Argon |
| ProgramBench (Vals AI) | 2.5% | Not measured | Only Gemini 4 Argon measured |
| IOI (Vals AI) | 100.0% | 45.3% | Gemini 4 Argon |
| Terminal-Bench 2.1 (Vals AI) | 57.7% | Not measured | Only Gemini 4 Argon measured |
| SWE-bench Multimodal (Vals AI) | 56.0% | 33.1% | Gemini 4 Argon |
| Vibe Code Bench 1-100 (Vals AI) | 21.2% | 14.3% | Gemini 4 Argon |
| CyberBench (Vals AI) | 77.9% | Not measured | Only Gemini 4 Argon measured |
| SciCode | 61.8% | 54.2% | Gemini 4 Argon |
| FrontierCode | 47.5% | 39.4% | Gemini 4 Argon |
| FrontierSWE | 55.0% | Not measured | Only Gemini 4 Argon measured |
| MirrorCode | 58.9% | Not measured | Only Gemini 4 Argon measured |
| ALE-Bench | 2100.1 | 1213.2 | Gemini 4 Argon |
| LMArena Text: coding | 1546 | 1478 | Gemini 4 Argon |
| LMArena Text: software and IT | 1556 | 1467 | Gemini 4 Argon |
| LMArena WebDev: React | 1692 | 1559 | Gemini 4 Argon |
| LMArena WebDev: HTML | 1643 | 1487 | Gemini 4 Argon |
| SciCode | 12.3% | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 18 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 4 Argon | Mistral Large 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 52.6 | 38.4 | Gemini 4 Argon |
| Epoch Capabilities Index | 166.4 | 150.0 | Gemini 4 Argon |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index90
| Benchmark | Gemini 4 Argon | Mistral Large 4 | Leader |
|---|---|---|---|
| Design Arena: spreadsheets | 1157 | Not measured | Only Gemini 4 Argon measured |
| LiveBench research | 83.1% | 28.1% | Gemini 4 Argon |
| LiveBench browser | 92.0% | 8.0% | Gemini 4 Argon |
| LiveBench long agentic | 69.9% | 11.8% | Gemini 4 Argon |
| SREBench (Vals AI) | 44.3% | Not measured | Only Gemini 4 Argon measured |
| Finance Agent (Vals AI) | 65.4% | 54.7% | Gemini 4 Argon |
| Tax Agent Bench (Vals AI) | 44.6% | 30.4% | Gemini 4 Argon |
| Legal Research Bench (Vals AI) | 54.8% | 31.7% | Gemini 4 Argon |
| Harvey's Legal Agent Benchmark (Vals AI) | 27.1% | 17.5% | Gemini 4 Argon |
| Excel Modeling Benchmark (Vals AI) | 75.2% | 56.2% | Gemini 4 Argon |
| BioMysteryBench (Vals AI) | 76.3% | 67.0% | Gemini 4 Argon |
| Terminal-Bench-Science (Vals AI) | 44.3% | Not measured | Only Gemini 4 Argon measured |
| Vals Science Index | 55.4% | Not measured | Only Gemini 4 Argon measured |
| Time Horizon Index (Vals AI) | 52.5% | Not measured | Only Gemini 4 Argon measured |
| CUA-bench (Vals AI) | 4.8% | Not measured | Only Gemini 4 Argon measured |
| Robo-bench (Vals AI) | 0.8% | Not measured | Only Gemini 4 Argon measured |
| APEX-Agents | 82.4% | Not measured | Only Gemini 4 Argon measured |
| Vending-Bench 2 | $13,718 | Not measured | Only Gemini 4 Argon measured |
| Neither model has a result on the other 23 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
| Benchmark | Gemini 4 Argon | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench reasoning | 95.1% | 83.9% | Gemini 4 Argon |
| MysteryMechanism (Vals AI) | 45.5% | 12.2% | Gemini 4 Argon |
| Humanity's Last Exam (Artificial Analysis run) | 57.1% | 35.0% | Gemini 4 Argon |
| GPQA Diamond (Epoch AI run) | 96.4% | 88.1% | Gemini 4 Argon |
| ARC-AGI | 98.5% | Not measured | Only Gemini 4 Argon measured |
| ARC-AGI-2 | 91.3% | Not measured | Only Gemini 4 Argon measured |
| Chess puzzles | 59.0% | 33.0% | Gemini 4 Argon |
| Mystery game puzzles | 64.0% | 17.0% | Gemini 4 Argon |
| EBR-bench | 64.8% | Not measured | Only Gemini 4 Argon measured |
| LMArena Text: hard prompts | 1546 | 1444 | Gemini 4 Argon |
| LMArena Text: expert | 1550 | 1444 | Gemini 4 Argon |
| LMArena Text: hard prompts in English | 1548 | 1442 | Gemini 4 Argon |
| LMArena Vision: diagrams | Not measured | 1288 | Only Mistral Large 4 measured |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Gemini 4 Argon | Mistral Large 4 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 100.0% | 98.3% | Gemini 4 Argon |
| FrontierMath, tiers 1 to 3 | 86.0% | 58.6% | Gemini 4 Argon |
| FrontierMath, tier 4 | 78.0% | 26.8% | Gemini 4 Argon |
| ProofBench | 99.0% | 10.0% | Gemini 4 Argon |
| LMArena Text: math | 1536 | 1469 | Gemini 4 Argon |
| LMArena Text: mathematical work | 1557 | 1462 | Gemini 4 Argon |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index60
| Benchmark | Gemini 4 Argon | Mistral Large 4 | Leader |
|---|---|---|---|
| LegalBench (Vals AI) | 88.3% | Not measured | Only Gemini 4 Argon measured |
| MedCode (Vals AI) | 58.8% | 40.7% | Gemini 4 Argon |
| SimpleQA Verified | 76.0% | 20.0% | Gemini 4 Argon |
| LMArena Text: science | 1548 | 1448 | Gemini 4 Argon |
| LMArena Text: medicine and healthcare | 1555 | 1433 | Gemini 4 Argon |
| LMArena Text: legal and government | 1548 | 1425 | Gemini 4 Argon |
| LMArena Text: business and finance | 1525 | 1439 | Gemini 4 Argon |
| Neither model has a result on the other 11 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | Gemini 4 Argon | Mistral Large 4 | Leader |
|---|---|---|---|
| Design Arena: websites | 1315 | 1257 | Gemini 4 Argon |
| Design Arena: UI components | 1333 | 1272 | Gemini 4 Argon |
| Design Arena: game dev | 1377 | 1225 | Gemini 4 Argon |
| Design Arena: data viz | 1332 | 1275 | Gemini 4 Argon |
| Design Arena: 3D | 1388 | 1252 | Gemini 4 Argon |
| Design Arena: all code categories | 1329 | 1259 | Gemini 4 Argon |
| 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 | 73.7% | 65.6% | Gemini 4 Argon |
GeneralLike-for-likePublic boards, shown as published, kept out of the index171
| Benchmark | Gemini 4 Argon | Mistral Large 4 | Leader |
|---|---|---|---|
| Vals Index | 69.2% | Not measured | Only Gemini 4 Argon measured |
| LiveBench data analysis | 85.2% | 76.5% | Gemini 4 Argon |
| Public Benefits Bench (Vals AI) | 69.8% | Not measured | Only Gemini 4 Argon measured |
| SAGE (Vals AI) | 53.6% | Not measured | Only Gemini 4 Argon measured |
| MedScribe (Vals AI) | 87.4% | 80.4% | Gemini 4 Argon |
| Long context reasoning (AA-LCR) | 79.7% | 81.3% | Mistral Large 4 |
| DTBench | 97.6% | 88.2% | Gemini 4 Argon |
| LMCA | 63.7% | 35.8% | Gemini 4 Argon |
| Surface Evolver Bench | Not measured | 28.1% | Only Mistral Large 4 measured |
| Furniture assembly | 72.5% | 20.8% | Gemini 4 Argon |
| LMArena Text | 1532 | 1431 | Gemini 4 Argon |
| LMArena Text: instruction following | 1534 | 1422 | Gemini 4 Argon |
| LMArena Text: creative writing | 1527 | 1363 | Gemini 4 Argon |
| LMArena Vision | Not measured | 1272 | Only Mistral Large 4 measured |
| LMArena Text: English | 1538 | 1433 | Gemini 4 Argon |
| LMArena Text: non-English | 1522 | 1422 | Gemini 4 Argon |
| LMArena Text: Chinese | 1611 | 1492 | Gemini 4 Argon |
| LMArena Text: Japanese | Not measured | 1415 | Only Mistral Large 4 measured |
| LMArena Text: French | Not measured | 1492 | Only Mistral Large 4 measured |
| LMArena Text: Spanish | 1503 | 1455 | Gemini 4 Argon |
| LMArena Text: Russian | 1534 | 1417 | Gemini 4 Argon |
| LMArena Text: multi-turn | 1556 | 1435 | Gemini 4 Argon |
| LMArena Text: longer queries | 1547 | 1428 | Gemini 4 Argon |
| LMArena Text: writing and language | 1529 | 1386 | Gemini 4 Argon |
| LMArena Text: entertainment and media | 1527 | 1378 | Gemini 4 Argon |
| LMArena Vision: English | Not measured | 1283 | Only Mistral Large 4 measured |
| LMArena Vision: reading text | Not measured | 1284 | Only Mistral Large 4 measured |
| Neither model has a result on the other 19 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 4 Argon | 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
Mistral Large 4 costs less
Repository review
50K input + 3K output tokens
Mistral Large 4 costs less
Agent loop
200K input + 10K output tokens
Mistral Large 4 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 4 Argon | Mistral Large 4 |
|---|---|---|
| Maker | Mistral AI | |
| Weights | No public weights listed | No public weights listed |
| Released | October 13, 2026 | October 6, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $2.00 | $1.36 |
| Output $/Mtok | $10.00 | $4.18 |
| Coding index | 81.0 | 56.4 |
| Independent measurements behind it | 5 | 5 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 4 Argon better than Mistral Large 4 for coding?
Pick Gemini 4 Argon for coding: it scores 81.0 on the Vibe Coding Index against 56.4 for Mistral Large 4. Pick Mistral Large 4 for output tokens 2.4x cheaper ($4.18 vs $10.00 per million) and work measured by Long context reasoning (AA-LCR), where it leads.
Which is cheaper, Gemini 4 Argon or Mistral Large 4?
Gemini 4 Argon costs $2.00 per million input tokens and $10.00 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, Gemini 4 Argon or Mistral Large 4?
Neither: both take 1.05M tokens.
How many benchmarks is the Gemini 4 Argon vs Mistral Large 4 comparison based on?
72 benchmarks have a result for both models as of October 22, 2026. Gemini 4 Argon's coding index rests on 5 independent benchmarks and Mistral Large 4's on 5. Where only one model has a result, the page says so instead of naming a winner.