Laguna S 2.1 vs Mistral Small 3
Detailed technical comparison between Laguna S 2.1 (Poolside) and Mistral Small 3 (Mistral). Review live API token pricing, context window capabilities, time-to-first-token latency, and verified benchmark scores side-by-side.
Comparison Snapshot
Laguna S 2.1
1,048,576 tokensTie
Equal CapabilityTie
Equal SpeedTie
Equal PricingLaguna S 2.1
Laguna S 2.1 is the latest coding agent model from [Poolside](<https://poolside.ai/>). Laguna S 2.1 is a 118B total parameter model with 8B active parameters, scoring 70.2% on Terminal-Bench 2.1 and...
Mistral Small 3
Mistral Small 3 is a 24B-parameter language model optimized for low-latency performance across common AI tasks. Released under the Apache 2.0 license, it features both pre-trained and instruction-tuned versions designed...
Technical Specifications
๐ = Superior Spec| Specification | Laguna S 2.1 | Mistral Small 3 |
|---|---|---|
| Provider | Poolside | Mistral |
| Context Window | 1,048,576 tokens๐ | 32,768 tokens |
| Agent Suitability | Not yet benchmarked | 84/100 (est.) |
| Time to First Token (TTFT) | No public TTFT data | 120 ms (est.) |
| Deployment Model | managed api | managed api |
| Production Stability | Beta Access (est.) | Stable GA (est.) |
| API Available | Yes | Yes |
| Released Date | 2026-07-21 | 2025-01-30 |
API Pricing Comparison
Input Price per Million Tokens
Laguna S 2.1
$0.10
Mistral Small 3
$0.10
Output Price per Million Tokens
Laguna S 2.1
$0.20
Mistral Small 3
$0.30
๐ก Cost Ratio: Both models offer identical input token pricing ($0.10 / MTok).
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Run side-by-side prompt benchmarks in our dynamic multi-model Sandbox. Compare execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Standardized Scores (0โ100%)Scores show verified raw accuracy percentages across standardized AI evaluation suites. Higher bars indicate superior performance in that domain.
Laguna S 2.1 Quirks & Gotchas
No developer gotchas reported.
Mistral Small 3 Quirks & Gotchas
- โธFastest TTFT at lowest cost โ ideal for high-volume classification
- โธNot designed for complex reasoning โ route multi-step tasks to Mistral Large 3
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