Trinity Large Thinking vs Mistral Medium 3
Updated October 21, 2026. 41 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Neither model has a coding score yet, so the two cannot be ranked on coding.
Trinity Large Thinking has the edge where output tokens cost 2.5x less, and where the context window is larger, 262K against 131K tokens.
- Shared results
- 41
- Trinity Large Thinking only
- 11
- Mistral Medium 3 only
- 16
- Like-for-like categories
- 8 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, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
Trinity Large Thinking
Trinity Large Thinking leads, 10.8 against 9.0.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Trinity Large Thinking has a AA Agentic Index result, 1.0.
Directional only
Web design
Design Arena: websites
Trinity Large Thinking
Trinity Large Thinking leads, 1137 against 1079.
Same board, both measured
Long documents
Listed context window
Trinity Large Thinking
Trinity Large Thinking takes 262K tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Trinity Large Thinking
Trinity Large Thinking $0.0006, Mistral Medium 3 $0.0014 per turn.
List prices
At a glance
- Coding index
- Trinity Large Thinking not benchmarked, Mistral Medium 3 not benchmarked.
- Widest category
- Agentic work, 65.8 points apart on average over 1 shared benchmark.
- Widest single gap
- τ²-Bench Telecom: Trinity Large Thinking 90.1% against Mistral Medium 3 24.3%, 65.8 points apart on a 0 to 100 scale.
- Output price
- Trinity Large Thinking $0.80 against Mistral Medium 3 $2.00 per million output tokens, 2.5x apart.
- Context window
- Trinity Large Thinking takes 262K tokens, Mistral Medium 3 131K.
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 | Trinity Large Thinking | Bars | Mistral Medium 3 | Ties |
|---|---|---|---|---|
| Coding | 1 | 2 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 3 | 2 | ||
| Math | 1 | 1 | ||
| Knowledge | 0 | 4 | ||
| Web design | 5 | 1 | ||
| General | 3 | 16 | ||
| All shared boards | 15 | 26 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index12
| Benchmark | Trinity Large Thinking | Mistral Medium 3 | Leader |
|---|---|---|---|
| LMArena WebDev | 1238 | Not measured | Only Trinity Large Thinking measured |
| AA Coding Index | 25.8 | Not measured | Only Trinity Large Thinking measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 40.0% | Only Mistral Medium 3 measured |
| SciCode | 40.6% | Not measured | Only Trinity Large Thinking measured |
| Terminal-Bench Hard (Artificial Analysis run) | 22.7% | 3.8% | Trinity Large Thinking |
| LMArena Text: coding | 1357 | 1385 | Mistral Medium 3 |
| LMArena Text: software and IT | 1362 | 1385 | Mistral Medium 3 |
| LMArena WebDev: React | 1231 | Not measured | Only Trinity Large Thinking measured |
| LMArena WebDev: HTML | 1240 | Not measured | Only Trinity Large Thinking measured |
| Neither model has a result on the other 29 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Trinity Large Thinking | Mistral Medium 3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 10.8 | 9.0 | Trinity Large Thinking |
| Epoch Capabilities Index | Not measured | 134.0 | Only Mistral Medium 3 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Trinity Large Thinking | Mistral Medium 3 | Leader |
|---|---|---|---|
| AA Agentic Index | 1.0 | Not measured | Only Trinity Large Thinking measured |
| τ²-Bench Telecom | 90.1% | 24.3% | Trinity Large Thinking |
| Neither model has a result on the other 37 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
| Benchmark | Trinity Large Thinking | Mistral Medium 3 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 75.2% | 57.8% | Trinity Large Thinking |
| Humanity's Last Exam (Artificial Analysis run) | 15.8% | 4.1% | Trinity Large Thinking |
| LMArena Text: hard prompts | 1342 | 1364 | Mistral Medium 3 |
| LMArena Text: expert | 1359 | 1342 | Trinity Large Thinking |
| LMArena Text: hard prompts in English | 1356 | 1374 | Mistral Medium 3 |
| LMArena Vision: diagrams | Not measured | 1155 | Only Mistral Medium 3 measured |
| LMArena Vision: homework | Not measured | 1165 | Only Mistral Medium 3 measured |
| Neither model has a result on the other 14 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Trinity Large Thinking | Mistral Medium 3 | Leader |
|---|---|---|---|
| AA Math Index | Not measured | 30.3 | Only Mistral Medium 3 measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 30.3% | Only Mistral Medium 3 measured |
| LMArena Text: math | 1365 | 1353 | Trinity Large Thinking |
| LMArena Text: mathematical work | 1350 | 1354 | Mistral Medium 3 |
| Neither model has a result on the other 9 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Trinity Large Thinking | Mistral Medium 3 | Leader |
|---|---|---|---|
| CaseLaw (Vals AI) | 57.9% | Not measured | Only Trinity Large Thinking measured |
| CorpFin (Vals AI) | 54.7% | Not measured | Only Trinity Large Thinking measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 76.0% | Only Mistral Medium 3 measured |
| LMArena Text: science | 1355 | 1381 | Mistral Medium 3 |
| LMArena Text: medicine and healthcare | 1349 | 1381 | Mistral Medium 3 |
| LMArena Text: legal and government | 1345 | 1384 | Mistral Medium 3 |
| LMArena Text: business and finance | 1329 | 1352 | Mistral Medium 3 |
| Neither model has a result on the other 10 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index51
| Benchmark | Trinity Large Thinking | Mistral Medium 3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1137 | 1079 | Trinity Large Thinking |
| Design Arena: UI components | 1045 | 1024 | Trinity Large Thinking |
| Design Arena: game dev | 1079 | 1018 | Trinity Large Thinking |
| Design Arena: data viz | 1098 | 1034 | Trinity Large Thinking |
| Design Arena: 3D | 1082 | 1083 | Mistral Medium 3 |
| Design Arena: all code categories | 1117 | 1069 | Trinity Large Thinking |
| Design Arena: SVG | 1017 | Not measured | Only Trinity Large Thinking measured |
| Design Arena: ASCII art | 1041 | Not measured | Only Trinity Large Thinking measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index316
| Benchmark | Trinity Large Thinking | Mistral Medium 3 | Leader |
|---|---|---|---|
| IFBench | 56.3% | 39.3% | Trinity Large Thinking |
| Long context reasoning (AA-LCR) | 38.0% | 31.3% | Trinity Large Thinking |
| DTBench | Not measured | 62.3% | Only Mistral Medium 3 measured |
| Surface Evolver Bench | 15.6% | Not measured | Only Trinity Large Thinking measured |
| LMArena Text | 1340 | 1370 | Mistral Medium 3 |
| LMArena Text: instruction following | 1326 | 1338 | Mistral Medium 3 |
| LMArena Text: creative writing | 1308 | 1343 | Mistral Medium 3 |
| LMArena Vision | Not measured | 1157 | Only Mistral Medium 3 measured |
| LMArena Text: English | 1356 | 1385 | Mistral Medium 3 |
| LMArena Text: non-English | 1325 | 1353 | Mistral Medium 3 |
| LMArena Text: Chinese | 1371 | 1374 | Mistral Medium 3 |
| LMArena Text: German | 1356 | 1377 | Mistral Medium 3 |
| LMArena Text: Japanese | 1312 | 1316 | Mistral Medium 3 |
| LMArena Text: Korean | 1306 | 1304 | Trinity Large Thinking |
| LMArena Text: French | 1366 | 1368 | Mistral Medium 3 |
| LMArena Text: Spanish | 1327 | 1364 | Mistral Medium 3 |
| LMArena Text: Russian | 1338 | 1359 | Mistral Medium 3 |
| LMArena Text: Polish | 1312 | 1371 | Mistral Medium 3 |
| LMArena Text: multi-turn | 1320 | 1384 | Mistral Medium 3 |
| LMArena Text: longer queries | 1318 | 1360 | Mistral Medium 3 |
| LMArena Text: writing and language | 1317 | 1352 | Mistral Medium 3 |
| LMArena Text: entertainment and media | 1296 | 1335 | Mistral Medium 3 |
| LMArena Vision: English | Not measured | 1172 | Only Mistral Medium 3 measured |
| LMArena Vision: Chinese | Not measured | 1161 | Only Mistral Medium 3 measured |
| LMArena Vision: reading text | Not measured | 1154 | Only Mistral Medium 3 measured |
| LMArena Vision: humor | Not measured | 1145 | Only Mistral Medium 3 measured |
| LMArena Vision: captioning | Not measured | 1094 | Only Mistral Medium 3 measured |
| LMArena Vision: recognizing things | Not measured | 1141 | Only Mistral Medium 3 measured |
| LMArena Vision: creative writing | Not measured | 1146 | Only Mistral Medium 3 measured |
| Neither model has a result on the other 17 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Trinity Large Thinking | Mistral Medium 3 | 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
Trinity Large Thinking costs less
Repository review
50K input + 3K output tokens
Trinity Large Thinking costs less
Agent loop
200K input + 10K output tokens
Trinity Large Thinking 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 | Arcee AI Trinity Large Thinking | Mistral Medium 3 |
|---|---|---|
| Maker | Arcee AI | Mistral AI |
| Weights | Open weights | No public weights listed |
| Released | April 1, 2026 | May 7, 2025 |
| Context window | 262K | 131K |
| Input $/Mtok | $0.25 | $0.40 |
| Output $/Mtok | $0.80 | $2.00 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 1 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Trinity Large Thinking better than Mistral Medium 3 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Trinity Large Thinking has the edge where output tokens cost 2.5x less, and where the context window is larger, 262K against 131K tokens.
Which is cheaper, Trinity Large Thinking or Mistral Medium 3?
Trinity Large Thinking costs $0.25 per million input tokens and $0.80 per million output tokens; Mistral Medium 3 costs $0.40 and $2.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Trinity Large Thinking or Mistral Medium 3?
Trinity Large Thinking, with 262K tokens against 131K.
How many benchmarks is the Trinity Large Thinking vs Mistral Medium 3 comparison based on?
41 benchmarks have a result for both models as of October 21, 2026. Trinity Large Thinking's coding index rests on 1 independent benchmark and Mistral Medium 3's on 0. Where only one model has a result, the page says so instead of naming a winner.