AI Models · Open-Source vs Paid

Mistral Large 4 Open vs Claude Sonnet 5.5 Paid

Mistral Large 4 vs Claude Sonnet 5.5 compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.

Prices & specs refreshed from live data · olud.ai

Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.

Mistral Large 4OpenMistral AI
$0.68 /M input
$2.09 /M outputNo per-token fees if you self-host
TypeOpen-weight
Context window1M tokens
MultimodalYes
Self-hostYes
Claude Sonnet 5.5PaidAnthropic
$2 /M input
$10 /M outputManaged API (no infra to run)
TypeProprietary
Context window1M tokens
MultimodalYes
Self-hostNo
Choose Mistral Large 4 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 Claude Sonnet 5.5 if you want frontier capability through a managed API with zero infrastructure to run.

Mistral Large 4 vs Claude Sonnet 5.5 specs

SpecMistral Large 4Claude Sonnet 5.5Winner
MakerMistral AIAnthropic–
TypeOpen-weightProprietaryMistral Large 4
Context window1M tokens1M tokensMistral Large 4
Input price$0.68/M · free self-host$2/MMistral Large 4
Output price$2.09/M · free self-host$10/MMistral Large 4
Vision / multimodalYesYes= Tie
Tool / function callingYesYes= Tie
Self-hostableYesNo (API only)Mistral Large 4
LicenseApache 2.0ProprietaryMistral Large 4

Price gap & when to choose each

4.8×cheaper per output token

Mistral Large 4 is ~4.8× cheaper than Claude Sonnet 5.5 on output tokens ($2.09 vs $10 per M tokens).

Choose Mistral Large 4 if…
  • You want to self-host or run on your cloud
  • You need the longer 1M context window
  • You prioritize data privacy & control
  • You want the lowest operating costs
  • You are building open or reproducible AI
Choose Claude Sonnet 5.5 if…
  • You want frontier performance through a managed API
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

CapabilityMistral Large 4Claude Sonnet 5.5
Open weights (downloadable)✓✗
Self-hostable✓✗
Runs fully offline✓✗
Vision / multimodal✓✓
Tool / function calling✓✓
1M+ context window✓✓

Benchmarks: Mistral Large 4 vs Claude Sonnet 5.5

Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).

Mistral Large 4
Claude Sonnet 5.5
Intelligence index
38.4
56
Humanity's Last Exam
35%
55%
Long Context Reasoning
81.3%
82.7%
SciCode
54.2%
61%
Speed
0 tok/s
131.3 tok/s
Latency
0s
248.7s
Intelligence per $
18.6
14

Benchmark data by Artificial Analysis.

How Mistral Large 4 and Claude Sonnet 5.5 score

🏆 Best value & openness: Mistral Large 4 (4.9 vs 3.2 / 5)
CriterionMistral Large 4Claude Sonnet 5.5
Cost-efficiency4.53.5
Context window5.05.0
Openness5.01.5
Self-hosting5.01.0
Multimodality5.05.0

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

Mistral Large 4 Open

Mistral AI · Open-weight

Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads. It offers a 1M-token context window with up...

Claude Sonnet 5.5 Paid

Anthropic · Proprietary

Claude Sonnet 5.5 is Anthropic's Sonnet-class model for well-scoped everyday work, succeeding Claude Sonnet 5 as a direct upgrade. It is especially strong at building features, fixing bugs, and producing...

Other models in these families

These variants are tracked but not compared here — one page per family keeps the comparison readable.

Other variants tracked
Mistral Medium 3.5Mistral Medium 3.5 (batch)Mistral Small 4Mistral Small 4 (batch)Mistral Large 3 2512Mistral Large 3 2512 (batch)Mistral Medium 3.1Mistral Medium 3.1 (batch)Mistral Medium 3Devstral 2 2512Mistral Small 3.2 24BMistral Small 3.1 24BMistral LargeMistral Large 2407Mistral Small 3SabaMinistral 3 14B 2512Mixtral 8x22B InstructMinistral 3 8B 2512Ministral 3 8B 2512 (batch)Ministral 3 3B 2512UncensoredCodestral 2508Codestral 2508 (batch)Voxtral Small 24B 2507Mistral Nemo
Other variants tracked
Claude Sonnet 5.5 (batch)Claude Sonnet 5Claude Sonnet 5 (batch)Claude Sonnet 4.6Claude Sonnet 4.6 (batch)Claude Sonnet 4.5Claude Sonnet 4.5 (batch)Claude Sonnet 4

Frequently asked questions

Is Mistral Large 4 as good as Claude Sonnet 5.5?

Mistral Large 4 is open-weight and competitive on many tasks, but Claude Sonnet 5.5 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 Mistral Large 4 locally?

Yes. Mistral Large 4 has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. Claude Sonnet 5.5 is API-only and cannot be self-hosted.

How much cheaper is Mistral Large 4?

Mistral Large 4 costs $2.09/M output vs $10/M for Claude Sonnet 5.5 — roughly 5x cheaper via API, and free if you self-host.

Mistral Large 4 vs Claude Sonnet 5.5 — which should I pick in 2026?

Choose Mistral Large 4 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 Claude Sonnet 5.5 if you want frontier capability through a managed API with zero infrastructure to run.

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