Gemini 2.5 Flash vs Mistral Large 4
Updated October 21, 2026. 44 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Mistral Large 4 for coding: it scores 55.3 on the Vibe Coding Index against 28.7 for Gemini 2.5 Flash.
Pick Gemini 2.5 Flash when output tokens cost 1.7x less, or when what matters is LMArena Text: legal and government or MedScribe (Vals AI), where it leads.
- Shared results
- 44
- Gemini 2.5 Flash only
- 25
- Mistral Large 4 only
- 37
- Like-for-like categories
- 7 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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, four public coding benchmarks
Mistral Large 4
Mistral Large 4 scores 55.3 against 28.7.
1 and 2 benchmarks behind the scores
Intelligence
AA Intelligence Index
Mistral Large 4
Mistral Large 4 leads, 38.4 against 15.5.
Same board, both measured
Web design
Design Arena: websites
Mistral Large 4
Mistral Large 4 leads, 1258 against 1074.
Same board, both measured
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 2.5 Flash
Gemini 2.5 Flash $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 2.5 Flash has the number, $0.466.
Directional only
At a glance
- Coding index
- Gemini 2.5 Flash 28.7 from 1 benchmark, Mistral Large 4 55.3 from 2 benchmarks.
- Widest category
- Web design, 27.4 points apart on average over 7 shared benchmarks.
- Widest single gap
- Design Arena: UI components: Gemini 2.5 Flash 1005 against Mistral Large 4 1275, 33.8 points apart on a 0 to 100 scale.
- Output price
- Gemini 2.5 Flash $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 2.5 Flash | Bars | Mistral Large 4 | Ties |
|---|---|---|---|---|
| Coding | 0 | 2 | ||
| Intelligence | 0 | 2 | ||
| Reasoning | 0 | 5 | ||
| Math | 0 | 2 | ||
| Knowledge | 1 | 4 | ||
| Web design | 0 | 7 | ||
| General | 4 | 17 | ||
| All shared boards | 5 | 39 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index02
| Benchmark | Gemini 2.5 Flash | Mistral Large 4 | Leader |
|---|---|---|---|
| SWE-bench Verified | 28.7% | Not measured | Only Gemini 2.5 Flash measured |
| LiveBench coding | Not measured | 60.0% | Only Mistral Large 4 measured |
| LMArena WebDev | Not measured | 1543 | Only Mistral Large 4 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 |
| LiveCodeBench (Artificial Analysis run) | 69.5% | Not measured | Only Gemini 2.5 Flash measured |
| SciCode | Not measured | 54.2% | Only Mistral Large 4 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 13.6% | Not measured | Only Gemini 2.5 Flash measured |
| Terminal-Bench | 17.1% | Not measured | Only Gemini 2.5 Flash measured |
| FrontierCode | Not measured | 39.4% | Only Mistral Large 4 measured |
| ALE-Bench | Not measured | 1213.2 | Only Mistral Large 4 measured |
| LMArena Text: coding | 1423 | 1478 | Mistral Large 4 |
| LMArena Text: software and IT | 1425 | 1467 | Mistral Large 4 |
| LMArena WebDev: React | Not measured | 1559 | Only Mistral Large 4 measured |
| LMArena WebDev: HTML | Not measured | 1487 | Only Mistral Large 4 measured |
| Neither model has a result on the other 19 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemini 2.5 Flash | Mistral Large 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 15.5 | 38.4 | Mistral Large 4 |
| Epoch Capabilities Index | 142.9 | 150.0 | Mistral Large 4 |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
| Benchmark | Gemini 2.5 Flash | Mistral Large 4 | Leader |
|---|---|---|---|
| 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 | 31.6% | Not measured | Only Gemini 2.5 Flash measured |
| BALROG | 33.5% | Not measured | Only Gemini 2.5 Flash measured |
| Vending-Bench 2 | $549 | Not measured | Only Gemini 2.5 Flash measured |
| Neither model has a result on the other 27 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Gemini 2.5 Flash | 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) | 79.0% | Not measured | Only Gemini 2.5 Flash measured |
| Humanity's Last Exam (Artificial Analysis run) | 12.1% | 35.0% | Mistral Large 4 |
| GPQA Diamond (Epoch AI run) | Not measured | 88.1% | Only Mistral Large 4 measured |
| ARC-AGI | 33.3% | Not measured | Only Gemini 2.5 Flash measured |
| ARC-AGI-2 | 2.5% | Not measured | Only Gemini 2.5 Flash measured |
| SimpleBench | 41.2% | Not measured | Only Gemini 2.5 Flash measured |
| 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 | 1422 | 1444 | Mistral Large 4 |
| LMArena Text: expert | 1426 | 1444 | Mistral Large 4 |
| LMArena Text: hard prompts in English | 1420 | 1442 | Mistral Large 4 |
| LMArena Vision: diagrams | 1245 | 1288 | Mistral Large 4 |
| LMArena Vision: homework | 1244 | Not measured | Only Gemini 2.5 Flash measured |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Gemini 2.5 Flash | Mistral Large 4 | Leader |
|---|---|---|---|
| AA Math Index | 73.3 | Not measured | Only Gemini 2.5 Flash measured |
| AIME 2025 (Artificial Analysis run) | 73.3% | Not measured | Only Gemini 2.5 Flash measured |
| OTIS Mock AIME | Not measured | 98.3% | Only Mistral Large 4 measured |
| 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 | 1411 | 1469 | Mistral Large 4 |
| LMArena Text: mathematical work | 1422 | 1462 | Mistral Large 4 |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | Gemini 2.5 Flash | Mistral Large 4 | Leader |
|---|---|---|---|
| MedCode (Vals AI) | 40.4% | 40.7% | Mistral Large 4 |
| MMLU Pro (Artificial Analysis run) | 83.2% | Not measured | Only Gemini 2.5 Flash measured |
| SimpleQA Verified | Not measured | 20.0% | Only Mistral Large 4 measured |
| LMArena Text: science | 1433 | 1448 | Mistral Large 4 |
| LMArena Text: medicine and healthcare | 1428 | 1433 | Mistral Large 4 |
| LMArena Text: legal and government | 1430 | 1425 | Gemini 2.5 Flash |
| LMArena Text: business and finance | 1404 | 1439 | Mistral Large 4 |
| Neither model has a result on the other 10 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index07
| Benchmark | Gemini 2.5 Flash | Mistral Large 4 | Leader |
|---|---|---|---|
| Design Arena: websites | 1074 | 1258 | Mistral Large 4 |
| Design Arena: UI components | 1005 | 1275 | Mistral Large 4 |
| Design Arena: game dev | 1005 | 1226 | Mistral Large 4 |
| Design Arena: data viz | 1060 | 1274 | Mistral Large 4 |
| Design Arena: 3D | 1021 | 1253 | Mistral Large 4 |
| Design Arena: all code categories | 1059 | 1259 | Mistral Large 4 |
| Design Arena: SVG | 1018 | 1232 | Mistral Large 4 |
| Design Arena: ASCII art | Not measured | 1203 | 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 index417
| Benchmark | Gemini 2.5 Flash | Mistral Large 4 | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 76.5% | Only Mistral Large 4 measured |
| SAGE (Vals AI) | 44.8% | Not measured | Only Gemini 2.5 Flash measured |
| MedScribe (Vals AI) | 83.0% | 80.4% | Gemini 2.5 Flash |
| IFBench | 50.3% | Not measured | Only Gemini 2.5 Flash measured |
| Long context reasoning (AA-LCR) | 65.3% | 81.3% | Mistral Large 4 |
| DTBench | 76.5% | 88.2% | Mistral Large 4 |
| LMCA | 27.5% | 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 | 1417 | 1431 | Mistral Large 4 |
| LMArena Text: instruction following | 1405 | 1422 | Mistral Large 4 |
| LMArena Text: creative writing | 1400 | 1363 | Gemini 2.5 Flash |
| LMArena Vision | 1235 | 1272 | Mistral Large 4 |
| LMArena Text: English | 1418 | 1433 | Mistral Large 4 |
| LMArena Text: non-English | 1409 | 1422 | Mistral Large 4 |
| LMArena Text: Chinese | 1449 | 1492 | Mistral Large 4 |
| LMArena Text: German | 1417 | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Text: Japanese | 1396 | 1415 | Mistral Large 4 |
| LMArena Text: Korean | 1385 | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Text: French | 1432 | 1492 | Mistral Large 4 |
| LMArena Text: Spanish | 1422 | 1455 | Mistral Large 4 |
| LMArena Text: Russian | 1415 | 1417 | Mistral Large 4 |
| LMArena Text: Polish | 1413 | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Text: multi-turn | 1408 | 1435 | Mistral Large 4 |
| LMArena Text: longer queries | 1419 | 1428 | Mistral Large 4 |
| LMArena Text: writing and language | 1405 | 1386 | Gemini 2.5 Flash |
| LMArena Text: entertainment and media | 1393 | 1378 | Gemini 2.5 Flash |
| LMArena Vision: English | 1239 | 1283 | Mistral Large 4 |
| LMArena Vision: Chinese | 1284 | Not measured | Only Gemini 2.5 Flash measured |
| LMArena Vision: reading text | 1237 | 1284 | Mistral Large 4 |
| LMArena Vision: humor | 1225 | Not measured | Only Gemini 2.5 Flash measured |
| 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 | Not measured | Only Gemini 2.5 Flash measured |
| Neither model has a result on the other 12 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 2.5 Flash | 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 2.5 Flash costs less
Repository review
50K input + 3K output tokens
Gemini 2.5 Flash costs less
Agent loop
200K input + 10K output tokens
Gemini 2.5 Flash 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 | Mistral Large 4 |
|---|---|---|
| Maker | Mistral AI | |
| Weights | No public weights listed | No public weights listed |
| Released | June 17, 2025 | October 6, 2026 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $0.30 | $1.36 |
| Output $/Mtok | $2.50 | $4.18 |
| Coding index | 28.7 | 55.3 |
| Independent measurements behind it | 1 | 2 |
| Cost per solved task | $0.466 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 2.5 Flash better than Mistral Large 4 for coding?
Pick Mistral Large 4 for coding: it scores 55.3 on the Vibe Coding Index against 28.7 for Gemini 2.5 Flash. Pick Gemini 2.5 Flash when output tokens cost 1.7x less, or when what matters is LMArena Text: legal and government or MedScribe (Vals AI), where it leads.
Which is cheaper, Gemini 2.5 Flash or Mistral Large 4?
Gemini 2.5 Flash 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 2.5 Flash only.
Which has the bigger context window, Gemini 2.5 Flash or Mistral Large 4?
Neither: both take 1.05M tokens.
How many benchmarks is the Gemini 2.5 Flash vs Mistral Large 4 comparison based on?
44 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Flash's coding index rests on 1 independent benchmark and Mistral Large 4's on 2. Where only one model has a result, the page says so instead of naming a winner.