AI model comparison
Trinity Large Thinking vs Mistral Small 4
Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.
Arcee AI
Trinity Large Thinking
Trinity Large Thinking is a powerful open source reasoning model from the team at Arcee AI. It shows strong performance in PinchBench, agentic workloads, and reasoning tasks.
- Input / 1M
- $0.25
- Output / 1M
- $0.80
- Context
- 262K
Mistral
Mistral Small 4
Mistral Small 4 is the next major release in the Mistral Small family, unifying the capabilities of several flagship Mistral models into a single system.
- Input / 1M
- $0.15
- Output / 1M
- $0.60
- Context
- 262K
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
Mistral Small 4
1.5x cheaper for a typical chat
Higher intelligence score
Mistral Small 4
11.3 vs 10.8 on Artificial Analysis
Larger context window
Tie
262K vs 262K tokens
Newer release
Trinity Large Thinking
Released April 1, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Mistral Small 411.3Coding index
Mistral Small 426.6Agentic index
Mistral Small 40.8Pricing
Trinity Large Thinking vs Mistral Small 4 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Mistral Small 4 | |
|---|---|---|
| Input tokensPer 1M tokens | $0.25 | $0.15 |
| Output tokensPer 1M tokens | $0.80 | $0.60 |
| Cached input (read)Per 1M tokens | $0.06 | $0.02 |
| Cache writePer 1M tokens | Not available | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Mistral Small 4$0.60Coding task
30K in, 4K out
Mistral Small 4$6.90$2.85 cachedLong document summary
150K in, 2K out
Mistral Small 4$23.70$3.45 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Mistral Small 4 | |
|---|---|---|
| Context window | 262K tokens | 262K tokens |
| Max output | 80K tokens | 210K tokens |
| Input types | Text | Image, Text |
| Output types | Text | Text |
| Reasoning effort levels | Not available | High, None |
| Default reasoning effort | Not available | High |
| Release date | April 1, 2026 | March 16, 2026 |
Features
Supported features
API features available for each model.
| Metric | Mistral Small 4 | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Not supported | Supported |
| JSON mode | Not supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Not supported | Supported |
| Deterministic seed | Not supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
- Trinity Large Thinking vs Qwen3 235B A22B Instruct 2507
- Trinity Large Thinking vs Qwen3 Coder 480B A35B
- Trinity Large Thinking vs GLM 4.6V
- Trinity Large Thinking vs GLM 4.5 Air
- Trinity Large Thinking vs Gemini 2.5 Flash Lite
- Trinity Large Thinking vs GPT-4.1 Mini
- Trinity Large Thinking vs Llama 4 Maverick
- Trinity Large Thinking vs Qwen3 Next 80B A3B Instruct
- Trinity Large Thinking vs Qwen3 Coder Next
Mistral Small 4View full model details- Mistral Small 4 vs Gemini 2.5 Flash Lite
- Mistral Small 4 vs gpt-oss-120b
- Mistral Small 4 vs GPT-5 Nano
- Mistral Small 4 vs Qwen3 235B A22B Instruct 2507
- Mistral Small 4 vs Nemotron 3 Super
- Mistral Small 4 vs Qwen3 Coder 480B A35B
- Mistral Small 4 vs GLM 4.6V
- Mistral Small 4 vs GLM 4.5 Air
- Mistral Small 4 vs Llama 4 Maverick
- Mistral Small 4 vs Mistral Large 3 2512
- Mistral Small 4 vs Mistral Medium 3.1
- Mistral Small 4 vs Mistral Medium 3
- Mistral Small 4 vs Saba
Our take
Mistral Small 4 is 1.5x cheaper for a typical chat. Mistral Small 4 scores higher on the Artificial Analysis Intelligence Index (11.3 vs 10.8). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Trinity Large Thinking or Mistral Small 4 cheaper?
Mistral Small 4 is cheaper for a typical chat (2K input tokens and 500 output tokens). Mistral Small 4 costs $0.15 per 1M input tokens and $0.60 per 1M output tokens, while Trinity Large Thinking costs $0.25 per 1M input tokens and $0.80 per 1M output tokens.
Which has a bigger context window, Trinity Large Thinking or Mistral Small 4?
Trinity Large Thinking supports up to 262K tokens of context, compared with 262K for Mistral Small 4.
Is Trinity Large Thinking smarter than Mistral Small 4?
On the Artificial Analysis Intelligence Index, Trinity Large Thinking scores 10.8 and Mistral Small 4 scores 11.3, putting Mistral Small 4 ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Trinity Large Thinking and Mistral Small 4 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Trinity Large Thinking and Mistral Small 4 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Trinity Large Thinking and Mistral Small 4 at the same time. Compare the answers side by side and keep the best one.