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Head-to-head comparison

Trinity Large Thinking vs Mistral Small 4

Trinity Large Thinking (Arcee AI) and Mistral Small 4 (Mistral AI) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.

Snapshot as of 10 September 2026

As of 10 September 2026, Mistral Small 4 holds the stronger ModelCap Index position (#104 vs #105); Mistral Small 4 is 1.3× cheaper per output token ($0.60/1M vs $0.80/1M); and Mistral Small 4 ships open weights.

Which should you choose?

Choose Trinity Large Thinking if…

  • you want the more recently listed model — Trinity Large Thinking was listed 1 April 2026, Mistral Small 4 16 March 2026.

Choose Mistral Small 4 if…

  • you want the stronger overall ModelCap Index position — #104 against #105 (40.8 vs 40.4 points).
  • API cost matters — $0.60/1M output tokens against $0.80/1M, about 1.3× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.15/1M against $0.25/1M.
  • you want to self-host: Mistral Small 4 ships open weights while Trinity Large Thinking is restricted license.
  • you want provider choice — 2 listed API providers against 1.
  • AA Intelligence Index is your yardstick — 11.5 against 10.9.
  • AA Terminal-Bench 2.1 is your yardstick — 21.0% against 20.6%.

Trinity Large Thinking vs Mistral Small 4: specs, pricing and context

Specification comparison of Trinity Large Thinking and Mistral Small 4
FieldTrinity Large ThinkingArcee AIMistral Small 4Mistral AI
ModelCap Index position#105#104
Index score40.440.8
EvidenceMeasuredMeasured
Input price / 1M tokens$0.25$0.15
Output price / 1M tokens$0.80$0.60
Context window262K tokens262K tokens
Max output tokens80K210K
API providers listed12
Weight accessRestricted licenseOpen weights
Input modalitiesTextText, Image
First listed1 April 202616 March 2026
PublisherArcee AIMistral AI

Evidence: 3 public benchmark observations across 3 boards · 1 public benchmark observation across 1 board. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Trinity Large Thinking vs Mistral Small 4

Public benchmark boards where Trinity Large Thinking or Mistral Small 4 has a published result
BoardTrinity Large ThinkingMistral Small 4Leads
Arena codingArena (LMArena)14141407–1422—Only one result
AA Intelligence IndexArtificial Analysis10.9intelligence-index:v4.3:reasoning-unspecified11.5intelligence-index:v4.3:reasoning-unspecifiedMistral Small 4
AA Terminal-Bench 2.1Artificial Analysis20.6%terminal-bench:2.1:terminus-2:e2b:pass-at-1:3-repeats:source-model="Trinity Large Thinking":reasoning=true21.0%terminal-bench:2.1:terminus-2:e2b:pass-at-1:3-repeats:source-model="Mistral Small 4":reasoning=trueMistral Small 4
AA τ²-Bench TelecomArtificial Analysis90.1%tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="Trinity Large Thinking":reasoning=true—Only one result
AA Humanity's Last ExamArtificial Analysis15.8%hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="Trinity Large Thinking":reasoning=true—Only one result

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

Trinity Large Thinking vs Mistral Small 4: common questions

Is Trinity Large Thinking better than Mistral Small 4?

Mistral Small 4 ranks higher on the ModelCap Index as of 10 September 2026: #104 against #105. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.

Is Trinity Large Thinking cheaper than Mistral Small 4?

Mistral Small 4 is cheaper on output tokens: $0.60/1M against $0.80/1M. Input tokens are $0.25/1M for Trinity Large Thinking and $0.15/1M for Mistral Small 4. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $0.90 for Trinity Large Thinking versus $0.60 for Mistral Small 4. Mistral Small 4 costs 33.3% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.

Which has the bigger context window, Trinity Large Thinking or Mistral Small 4?

Both publish a 262K-token context window.

Which is better for coding, Trinity Large Thinking or Mistral Small 4?

AA Terminal-Bench 2.1: Trinity Large Thinking 20.6%, Mistral Small 4 21.0% — Mistral Small 4 leads.

Are Trinity Large Thinking and Mistral Small 4 open-weight models?

Trinity Large Thinking: Restricted license. Mistral Small 4: Open weights. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.

Where can I run Trinity Large Thinking and Mistral Small 4?

ModelCap currently lists 1 API provider for Trinity Large Thinking and 2 for Mistral Small 4, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Trinity Large Thinking vs Mistral Small 4 comparison?

Every figure comes from the sealed ModelCap dataset published 10 September 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.

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