Gemini 3.5 Flash Lite vs Mistral Large 4
Mistral Large 4 leads Gemini 3.5 Flash Lite on coding, 56.4 to 49.0 on the Vibe Coding Index, and Gemini 3.5 Flash Lite costs 1.7x less per output token ($2.50 vs $4.18 per million). Updated October 21, 2026; 54 benchmarks have a result for both.
Gemini 3.5 Flash Lite or Mistral Large 4: which to pick
Pick Mistral Large 4 for coding: it scores 56.4 on the Vibe Coding Index against 49.0 for Gemini 3.5 Flash Lite.
Pick Gemini 3.5 Flash Lite for output tokens 1.7x cheaper ($2.50 vs $4.18 per million) and work measured by Mystery game puzzles or ProofBench, where it leads.
- Shared results
- 54
- Gemini 3.5 Flash Lite only
- 31
- Mistral Large 4 only
- 27
- Like-for-like categories
- 7 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
Mistral Large 4
Mistral Large 4 scores 56.4 against 49.0.
3 and 5 benchmarks behind the scores
Intelligence
AA Intelligence Index
Mistral Large 4
Mistral Large 4 leads, 38.4 against 22.2.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Gemini 3.5 Flash Lite has a AA Agentic Index result, 14.3.
Directional only
Reasoning
GPQA Diamond
No call
Only Gemini 3.5 Flash Lite has a GPQA Diamond result, 83.8%.
Directional only
Knowledge
MMLU Pro
No call
Only Gemini 3.5 Flash Lite has a MMLU Pro result, 85.8%.
Directional only
Web design
Design Arena: websites
No call
Only Mistral Large 4 has a Design Arena: websites result, 1258.
Directional only
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 3.5 Flash Lite
Gemini 3.5 Flash Lite $0.0015, Mistral Large 4 $0.0034 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 3.5 Flash Lite has the number, $0.41.
Directional only
At a glance
- Coding index
- Gemini 3.5 Flash Lite 49.0 from 3 benchmarks, Mistral Large 4 56.4 from 5 benchmarks.
- Widest category
- Coding, 17.6 points apart on average over 8 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Gemini 3.5 Flash Lite 37.2% against Mistral Large 4 78.4%, 41.2 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.5 Flash Lite $2.50 against Mistral Large 4 $4.18 per million output tokens, 1.7x 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 3.5 Flash Lite | Bars | Mistral Large 4 | Ties |
|---|---|---|---|---|
| Coding | 0 | 8 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 4 | ||
| Reasoning | 1 | 7 | ||
| Math | 1 | 5 | ||
| Knowledge | 4 | 1 | ||
| General | 11 | 10 | ||
| All shared boards | 17 | 37 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index08
| Benchmark | Gemini 3.5 Flash Lite | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 60.0% | Only Mistral Large 4 measured |
| LMArena WebDev | 1435 | 1543 | Mistral Large 4 |
| AA Coding Index | 49.3 | Not measured | Only Gemini 3.5 Flash Lite measured |
| LiveCodeBench (Vals AI) | 79.0% | Not measured | Only Gemini 3.5 Flash Lite measured |
| SWE-bench Verified (Vals AI) | 75.0% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Terminal-Bench 4 (Vals AI) | Not measured | 27.8% | Only Mistral Large 4 measured |
| Vibe Code Bench (Vals AI) | 37.2% | 78.4% | Mistral Large 4 |
| Code migration (Vals AI) | 6.2% | 30.6% | Mistral Large 4 |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Gemini 3.5 Flash Lite measured |
| IOI (Vals AI) | Not measured | 45.3% | Only Mistral Large 4 measured |
| Terminal-Bench 2.1 (Vals AI) | 50.2% | Not measured | Only Gemini 3.5 Flash Lite 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 |
| CyberBench (Vals AI) | 59.1% | Not measured | Only Gemini 3.5 Flash Lite measured |
| SciCode | 41.3% | 54.2% | Mistral Large 4 |
| FrontierCode | Not measured | 39.4% | Only Mistral Large 4 measured |
| WeirdML | 39.0% | Not measured | Only Gemini 3.5 Flash Lite measured |
| ALE-Bench | 765.3 | 1213.2 | Mistral Large 4 |
| LMArena Text: coding | 1453 | 1478 | Mistral Large 4 |
| LMArena Text: software and IT | 1451 | 1467 | Mistral Large 4 |
| LMArena WebDev: React | 1408 | 1559 | Mistral Large 4 |
| LMArena WebDev: HTML | Not measured | 1487 | Only Mistral Large 4 measured |
| LMArena WebDev: from an image | 1448 | Not measured | Only Gemini 3.5 Flash Lite measured |
| SciCode | 6.2% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Neither model has a result on the other 15 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemini 3.5 Flash Lite | Mistral Large 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 22.2 | 38.4 | Mistral Large 4 |
| Epoch Capabilities Index | 144.9 | 150.0 | Mistral Large 4 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Gemini 3.5 Flash Lite | Mistral Large 4 | Leader |
|---|---|---|---|
| AA Agentic Index | 14.3 | Not measured | Only Gemini 3.5 Flash Lite 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) | 47.4% | 54.7% | Mistral Large 4 |
| Tax Agent Bench (Vals AI) | 7.2% | 30.4% | Mistral Large 4 |
| Legal Research Bench (Vals AI) | 13.9% | 31.7% | Mistral Large 4 |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 17.5% | Only Mistral Large 4 measured |
| Excel Modeling Benchmark (Vals AI) | 43.2% | 56.2% | Mistral Large 4 |
| BioMysteryBench (Vals AI) | Not measured | 67.0% | Only Mistral Large 4 measured |
| APEX-Agents | 29.3% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Neither model has a result on the other 30 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index17
| Benchmark | Gemini 3.5 Flash Lite | Mistral Large 4 | Leader |
|---|---|---|---|
| GPQA Diamond | 83.8% | Not measured | Only Gemini 3.5 Flash Lite measured |
| LiveBench reasoning | Not measured | 83.9% | Only Mistral Large 4 measured |
| MysteryMechanism (Vals AI) | Not measured | 12.2% | Only Mistral Large 4 measured |
| MMMU Pro (Vals AI) | 83.6% | Not measured | Only Gemini 3.5 Flash Lite measured |
| GPQA Diamond (Artificial Analysis run) | 83.8% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Humanity's Last Exam (Artificial Analysis run) | 18.8% | 35.0% | Mistral Large 4 |
| GPQA Diamond (Epoch AI run) | 83.3% | 88.1% | Mistral Large 4 |
| ARC-AGI | 53.5% | Not measured | Only Gemini 3.5 Flash Lite measured |
| ARC-AGI-2 | 10.3% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Chess puzzles | 21.0% | 33.0% | Mistral Large 4 |
| Mystery game puzzles | 19.0% | 17.0% | Gemini 3.5 Flash Lite |
| LMArena Text: hard prompts | 1441 | 1444 | Mistral Large 4 |
| LMArena Text: expert | 1434 | 1444 | Mistral Large 4 |
| LMArena Text: hard prompts in English | 1440 | 1442 | Mistral Large 4 |
| LMArena Vision: diagrams | 1284 | 1288 | Mistral Large 4 |
| LMArena Vision: homework | 1291 | Not measured | Only Gemini 3.5 Flash Lite measured |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index15
| Benchmark | Gemini 3.5 Flash Lite | Mistral Large 4 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 71.1% | 98.3% | Mistral Large 4 |
| FrontierMath, tiers 1 to 3 | 26.0% | 58.6% | Mistral Large 4 |
| FrontierMath, tier 4 | 0.0% | 26.8% | Mistral Large 4 |
| ProofBench | 13.0% | 10.0% | Gemini 3.5 Flash Lite |
| LMArena Text: math | 1434 | 1469 | Mistral Large 4 |
| LMArena Text: mathematical work | 1433 | 1462 | Mistral Large 4 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
| Benchmark | Gemini 3.5 Flash Lite | Mistral Large 4 | Leader |
|---|---|---|---|
| MMLU Pro | 85.8% | Not measured | Only Gemini 3.5 Flash Lite measured |
| LegalBench (Vals AI) | 84.1% | Not measured | Only Gemini 3.5 Flash Lite measured |
| CorpFin (Vals AI) | 60.7% | Not measured | Only Gemini 3.5 Flash Lite measured |
| TaxEval (Vals AI) | 72.6% | Not measured | Only Gemini 3.5 Flash Lite measured |
| MortgageTax (Vals AI) | 68.7% | Not measured | Only Gemini 3.5 Flash Lite measured |
| MedCode (Vals AI) | 43.5% | 40.7% | Gemini 3.5 Flash Lite |
| SimpleQA Verified | Not measured | 20.0% | Only Mistral Large 4 measured |
| LMArena Text: science | 1451 | 1448 | Gemini 3.5 Flash Lite |
| LMArena Text: medicine and healthcare | 1438 | 1433 | Gemini 3.5 Flash Lite |
| LMArena Text: legal and government | 1431 | 1425 | Gemini 3.5 Flash Lite |
| LMArena Text: business and finance | 1423 | 1439 | Mistral Large 4 |
| FACTS Benchmark Suite | 53.5% | Not measured | Only Gemini 3.5 Flash Lite measured |
| Neither model has a result on the other 6 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Gemini 3.5 Flash Lite | Mistral Large 4 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1258 | Only Mistral Large 4 measured |
| Design Arena: UI components | Not measured | 1275 | Only Mistral Large 4 measured |
| Design Arena: game dev | Not measured | 1226 | Only Mistral Large 4 measured |
| Design Arena: data viz | Not measured | 1274 | Only Mistral Large 4 measured |
| Design Arena: 3D | Not measured | 1253 | Only Mistral Large 4 measured |
| Design Arena: all code categories | Not measured | 1259 | Only Mistral Large 4 measured |
| Design Arena: SVG | Not measured | 1233 | 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 index1110
| Benchmark | Gemini 3.5 Flash Lite | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 76.5% | Only Mistral Large 4 measured |
| Public Benefits Bench (Vals AI) | 51.8% | Not measured | Only Gemini 3.5 Flash Lite measured |
| SAGE (Vals AI) | 47.3% | Not measured | Only Gemini 3.5 Flash Lite measured |
| MedScribe (Vals AI) | 70.9% | 80.4% | Mistral Large 4 |
| Long context reasoning (AA-LCR) | 76.0% | 81.3% | Mistral Large 4 |
| DTBench | 83.5% | 88.2% | Mistral Large 4 |
| LMCA | 37.6% | 35.8% | Gemini 3.5 Flash Lite |
| 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 | 1435 | 1431 | Gemini 3.5 Flash Lite |
| LMArena Text: instruction following | 1419 | 1422 | Mistral Large 4 |
| LMArena Text: creative writing | 1421 | 1363 | Gemini 3.5 Flash Lite |
| LMArena Vision | 1269 | 1272 | Mistral Large 4 |
| LMArena Text: English | 1438 | 1433 | Gemini 3.5 Flash Lite |
| LMArena Text: non-English | 1427 | 1422 | Gemini 3.5 Flash Lite |
| LMArena Text: Chinese | 1468 | 1492 | Mistral Large 4 |
| LMArena Text: German | 1454 | Not measured | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: Japanese | 1426 | 1415 | Gemini 3.5 Flash Lite |
| LMArena Text: Korean | 1407 | Not measured | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: French | 1451 | 1492 | Mistral Large 4 |
| LMArena Text: Spanish | 1441 | 1455 | Mistral Large 4 |
| LMArena Text: Russian | 1443 | 1417 | Gemini 3.5 Flash Lite |
| LMArena Text: Polish | 1437 | Not measured | Only Gemini 3.5 Flash Lite measured |
| LMArena Text: multi-turn | 1445 | 1435 | Gemini 3.5 Flash Lite |
| LMArena Text: longer queries | 1435 | 1428 | Gemini 3.5 Flash Lite |
| LMArena Text: writing and language | 1428 | 1386 | Gemini 3.5 Flash Lite |
| LMArena Text: entertainment and media | 1414 | 1378 | Gemini 3.5 Flash Lite |
| LMArena Vision: English | 1269 | 1283 | Mistral Large 4 |
| LMArena Vision: Chinese | 1311 | Not measured | Only Gemini 3.5 Flash Lite measured |
| LMArena Vision: reading text | 1280 | 1284 | Mistral Large 4 |
| LMArena Vision: humor | 1287 | Not measured | Only Gemini 3.5 Flash Lite measured |
| LMArena Vision: creative writing | 1260 | Not measured | Only Gemini 3.5 Flash Lite measured |
| Neither model has a result on the other 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3.5 Flash Lite | 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
Gemini 3.5 Flash Lite costs less
Repository review
50K input + 3K output tokens
Gemini 3.5 Flash Lite costs less
Agent loop
200K input + 10K output tokens
Gemini 3.5 Flash Lite 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 3.5 Flash Lite | Mistral Large 4 |
|---|---|---|
| Maker | Mistral AI | |
| Weights | No public weights listed | No public weights listed |
| Released | July 21, 2026 | October 6, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.30 | $1.36 |
| Output $/Mtok | $2.50 | $4.18 |
| Coding index | 49.0 | 56.4 |
| Independent measurements behind it | 3 | 5 |
| Cost per solved task | $0.41 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.5 Flash Lite better than Mistral Large 4 for coding?
Pick Mistral Large 4 for coding: it scores 56.4 on the Vibe Coding Index against 49.0 for Gemini 3.5 Flash Lite. Pick Gemini 3.5 Flash Lite for output tokens 1.7x cheaper ($2.50 vs $4.18 per million) and work measured by Mystery game puzzles or ProofBench, where it leads.
Which is cheaper, Gemini 3.5 Flash Lite or Mistral Large 4?
Gemini 3.5 Flash Lite costs $0.30 per million input tokens and $2.50 per million output tokens; Mistral Large 4 costs $1.36 and $4.18. Cost per solved task is known for Gemini 3.5 Flash Lite only.
Which has the bigger context window, Gemini 3.5 Flash Lite or Mistral Large 4?
Neither: both take 1.05M tokens.
How many benchmarks is the Gemini 3.5 Flash Lite vs Mistral Large 4 comparison based on?
54 benchmarks have a result for both models as of October 21, 2026. Gemini 3.5 Flash Lite's coding index rests on 3 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.