THInkling Small Open vs 
Mistral Medium 3.1 (batch) Paid
Inkling Small vs Mistral Medium 3.1 (batch) compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.
Mistral Medium 3.1 (batch) — full profile ›
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
$1.2 /M outputNo per-token fees if you self-host
$1 /M outputManaged API (no infra to run)
Inkling Small vs Mistral Medium 3.1 (batch) specs
| Spec | Inkling Small | Mistral Medium 3.1 (batch) | Winner |
|---|---|---|---|
| Maker | Thinkingmachines | Mistral AI | – |
| Type | Open-weight | Proprietary | THInkling Small |
| Context window | 1M tokens | 131K tokens | THInkling Small |
| Input price | $0.45/M · free self-host | $0.2/M | |
| Output price | $1.2/M · free self-host | $1/M | |
| Vision / multimodal | Yes | Yes | = Tie |
| Tool / function calling | Yes | Yes | = Tie |
| Self-hostable | Yes | No (API only) | THInkling Small |
| License | Open weights | Proprietary | THInkling Small |
Price gap & when to choose each
- You want to self-host or run on your cloud
- You need the longer 1M context window
- You prioritize data privacy & control
- You are building open or reproducible AI
- You want frontier performance through a managed API
- You want the lower output price
- You value reliability & ecosystem
- You don't want to manage infrastructure
Feature comparison
| Capability | Inkling Small | Mistral Medium 3.1 (batch) |
|---|---|---|
| Open weights (downloadable) | ✓ | ✗ |
| Self-hostable | ✓ | ✗ |
| Runs fully offline | ✓ | ✗ |
| Vision / multimodal | ✓ | ✓ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✓ | ✗ |
Benchmarks: Inkling Small vs Mistral Medium 3.1 (batch)
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
How Inkling Small and Mistral Medium 3.1 (batch) score
| Criterion | Inkling Small | Mistral Medium 3.1 (batch) |
|---|---|---|
| Cost-efficiency | 4.5 | 4.5 |
| Context window | 5.0 | 3.5 |
| Openness | 5.0 | 1.5 |
| Self-hosting | 5.0 | 1.0 |
| Multimodality | 5.0 | 5.0 |
Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.
What each model is
Inkling Small Open
Inkling Small is an open-weight multimodal mixture-of-experts model from Thinking Machines Lab, with 12B active parameters out of 276B total. It is positioned as the smaller, more efficient member of...
Mistral Medium 3.1 (batch) Paid
Mistral Medium 3.1 is an updated version of Mistral Medium 3, which is a high-performance enterprise-grade language model designed to deliver frontier-level capabilities at significantly reduced operational cost. It balances...
Other models in these families
These variants are tracked but not compared here — one page per family keeps the comparison readable.
Frequently asked questions
Is Inkling Small as good as Mistral Medium 3.1 (batch)?
Inkling Small is open-weight and competitive on many tasks, but Mistral Medium 3.1 (batch) may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.
Can I run Inkling Small locally?
Yes. Inkling Small has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. Mistral Medium 3.1 (batch) is API-only and cannot be self-hosted.
Inkling Small vs Mistral Medium 3.1 (batch) — which should I pick in 2026?
Choose Inkling Small if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose Mistral Medium 3.1 (batch) if you want frontier capability through a managed API with zero infrastructure to run.
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