Mistral Small 3 vs Ternary Bonsai 2 27B
Mistral Small 3 costs 6.3x less per output token than Ternary Bonsai 2 27B ($0.08 vs $0.50 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.08
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.50
Mistral Small 3 or Ternary Bonsai 2 27B: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Mistral Small 3 for output tokens 6.3x cheaper ($0.08 vs $0.50 per million).
No benchmark has tested both yet. Mistral Small 3 has results on LiveCodeBench (Artificial Analysis run), LMArena Text: coding and LMArena Text: software and IT; Ternary Bonsai 2 27B has none yet. Compare them on price and context instead.
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
No call
Only Mistral Small 3 has a AA Intelligence Index result, 6.7.
Directional only
Long documents
Listed context window
Ternary Bonsai 2 27B
Ternary Bonsai 2 27B takes 262K tokens against 33K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Small 3
Mistral Small 3 $0.0001, Ternary Bonsai 2 27B $0.0003 per turn.
List prices
At a glance
- Coding index
- Mistral Small 3 not benchmarked, Ternary Bonsai 2 27B not benchmarked.
- Widest category
- None yet: no category has been tested on both models.
- Widest single gap
- None yet: no benchmark has tested both models.
- Output price
- Mistral Small 3 $0.08 against Ternary Bonsai 2 27B $0.50 per million output tokens, 6.3x apart.
- Context window
- Mistral Small 3 takes 33K tokens, Ternary Bonsai 2 27B 262K.
Benchmark by benchmark
Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.
CodingDirectional onlySix of these boards feed the Vibe Coding Index3 boards measured
| Benchmark | Mistral Small 3 | Ternary Bonsai 2 27B | Leader |
|---|---|---|---|
| LiveCodeBench (Artificial Analysis run) | 25.2% | Not measured | Only Mistral Small 3 measured |
| LMArena Text: coding | 1246 | Not measured | Only Mistral Small 3 measured |
| LMArena Text: software and IT | 1248 | Not measured | Only Mistral Small 3 measured |
| Neither model has a result on the other 40 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Mistral Small 3 | Ternary Bonsai 2 27B | Leader |
|---|---|---|---|
| AA Intelligence Index | 6.7 | Not measured | Only Mistral Small 3 measured |
| Neither model has a result on the other 1 board here | |||
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Mistral Small 3 | Ternary Bonsai 2 27B | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 19.6% | Not measured | Only Mistral Small 3 measured |
| Neither model has a result on the other 41 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
| Benchmark | Mistral Small 3 | Ternary Bonsai 2 27B | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 46.2% | Not measured | Only Mistral Small 3 measured |
| Humanity's Last Exam (Artificial Analysis run) | 3.8% | Not measured | Only Mistral Small 3 measured |
| LMArena Text: hard prompts | 1233 | Not measured | Only Mistral Small 3 measured |
| LMArena Text: expert | 1202 | Not measured | Only Mistral Small 3 measured |
| LMArena Text: hard prompts in English | 1243 | Not measured | Only Mistral Small 3 measured |
| Neither model has a result on the other 18 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
| Benchmark | Mistral Small 3 | Ternary Bonsai 2 27B | Leader |
|---|---|---|---|
| AA Math Index | 4.3 | Not measured | Only Mistral Small 3 measured |
| AIME 2025 (Artificial Analysis run) | 4.3% | Not measured | Only Mistral Small 3 measured |
| LMArena Text: math | 1240 | Not measured | Only Mistral Small 3 measured |
| LMArena Text: mathematical work | 1243 | Not measured | Only Mistral Small 3 measured |
| Neither model has a result on the other 10 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
| Benchmark | Mistral Small 3 | Ternary Bonsai 2 27B | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 65.2% | Not measured | Only Mistral Small 3 measured |
| LMArena Text: science | 1235 | Not measured | Only Mistral Small 3 measured |
| LMArena Text: medicine and healthcare | 1215 | Not measured | Only Mistral Small 3 measured |
| LMArena Text: legal and government | 1219 | Not measured | Only Mistral Small 3 measured |
| LMArena Text: business and finance | 1205 | Not measured | Only Mistral Small 3 measured |
| Neither model has a result on the other 15 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index17 boards measured
| Benchmark | Mistral Small 3 | Ternary Bonsai 2 27B | Leader |
|---|---|---|---|
| IFBench | 26.4% | Not measured | Only Mistral Small 3 measured |
| Long context reasoning (AA-LCR) | 0.0% | Not measured | Only Mistral Small 3 measured |
| LMArena Text | 1234 | Not measured | Only Mistral Small 3 measured |
| LMArena Text: instruction following | 1214 | Not measured | Only Mistral Small 3 measured |
| LMArena Text: creative writing | 1194 | Not measured | Only Mistral Small 3 measured |
| LMArena Text: English | 1256 | Not measured | Only Mistral Small 3 measured |
| LMArena Text: non-English | 1198 | Not measured | Only Mistral Small 3 measured |
| LMArena Text: Chinese | 1204 | Not measured | Only Mistral Small 3 measured |
| LMArena Text: German | 1211 | Not measured | Only Mistral Small 3 measured |
| LMArena Text: Japanese | 1111 | Not measured | Only Mistral Small 3 measured |
| LMArena Text: Korean | 1188 | Not measured | Only Mistral Small 3 measured |
| LMArena Text: French | 1204 | Not measured | Only Mistral Small 3 measured |
| LMArena Text: Russian | 1216 | Not measured | Only Mistral Small 3 measured |
| LMArena Text: multi-turn | 1217 | Not measured | Only Mistral Small 3 measured |
| LMArena Text: longer queries | 1246 | Not measured | Only Mistral Small 3 measured |
| LMArena Text: writing and language | 1214 | Not measured | Only Mistral Small 3 measured |
| LMArena Text: entertainment and media | 1184 | Not measured | Only Mistral Small 3 measured |
| Neither model has a result on the other 31 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 Small 3 costs less
Repository review
50K input + 3K output tokens
Mistral Small 3 costs less
Agent loop
200K input + 10K output tokens
Mistral Small 3 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 | Mistral Small 3 | PrismML Ternary Bonsai 2 27B |
|---|---|---|
| Maker | Mistral AI | Prism-ml |
| Weights | Open weights | Open weights |
| Released | January 30, 2025 | September 18, 2026 |
| Context window | 33K | 262K |
| Input $/Mtok | $0.05 | $0.075 |
| Output $/Mtok | $0.08 | $0.50 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Mistral Small 3 better than Ternary Bonsai 2 27B for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Mistral Small 3 for output tokens 6.3x cheaper ($0.08 vs $0.50 per million).
Which is cheaper, Mistral Small 3 or Ternary Bonsai 2 27B?
Mistral Small 3 costs $0.05 per million input tokens and $0.08 per million output tokens; Ternary Bonsai 2 27B costs $0.075 and $0.50. Cost per solved task is known for neither of them.
Which has the bigger context window, Mistral Small 3 or Ternary Bonsai 2 27B?
Ternary Bonsai 2 27B, with 262K tokens against 33K.
Has any benchmark tested both Mistral Small 3 and Ternary Bonsai 2 27B?
No benchmark has tested both yet. Mistral Small 3 has results on LiveCodeBench (Artificial Analysis run), LMArena Text: coding and LMArena Text: software and IT; Ternary Bonsai 2 27B has none yet. Compare them on price and context instead. Data as of October 22, 2026.