AI Models · Open-Source vs Paid

Claude Opus 5.5 Paid vs Mistral Large 4 Open

Claude Opus 5.5 vs Mistral Large 4 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.

Claude Opus 5.5PaidAnthropic
$4 /M input
$20 /M outputManaged API (no infra to run)
TypeProprietary
Context window1M tokens
MultimodalYes
Self-hostNo
Mistral Large 4OpenMistral AI
$1.36 /M input
$4.18 /M outputNo per-token fees if you self-host
TypeOpen-weight
Context window1M tokens
MultimodalYes
Self-hostYes
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 Opus 5.5 if you want frontier capability through a managed API with zero infrastructure to run.

Claude Opus 5.5 vs Mistral Large 4 specs

SpecClaude Opus 5.5Mistral Large 4Winner
MakerAnthropicMistral AI–
TypeProprietaryOpen-weightMistral Large 4
Context window1M tokens1M tokensMistral Large 4
Input price$4/M$1.36/M · free self-hostMistral Large 4
Output price$20/M$4.18/M · free self-hostMistral Large 4
Vision / multimodalYesYes= Tie
Tool / function callingYesYes= Tie
Self-hostableNo (API only)YesMistral Large 4
LicenseProprietaryApache 2.0Mistral Large 4

Price gap & when to choose each

4.8×cheaper per output token

Mistral Large 4 is ~4.8× cheaper than Claude Opus 5.5 on output tokens ($4.18 vs $20 per M tokens).

Choose Claude Opus 5.5 if…
  • You want frontier performance through a managed API
  • You value reliability & ecosystem
  • You don't want to manage infrastructure
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

Feature comparison

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

Benchmarks: Claude Opus 5.5 vs Mistral Large 4

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

Mistral Large 4 delivers 2.6× more intelligence per dollar.
Claude Opus 5.5
Mistral Large 4
Intelligence index
57.6
38.4
Humanity's Last Exam
61.4%
35%
Long Context Reasoning
84.7%
81.3%
SciCode
66.9%
54.2%
Speed
96.6 tok/s
118.2 tok/s
Latency
466.45s
0.77s
Intelligence per $
7.2
18.6

Benchmark data by Artificial Analysis.

How Claude Opus 5.5 and Mistral Large 4 score

🏆 Best value & openness: Mistral Large 4 (4.8 vs 3.1 / 5)
CriterionClaude Opus 5.5Mistral Large 4
Cost-efficiency3.04.0
Context window5.05.0
Openness1.55.0
Self-hosting1.05.0
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

Claude Opus 5.5 Paid

Anthropic · Proprietary

Claude Opus 5.5 is Anthropic's flagship model for demanding reasoning, coding, and long-horizon agentic work, succeeding Claude Opus 5. It is particularly strong at multi-step changes in large codebases, code...

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...

Other models in these families

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

Other variants tracked
Claude Opus 5.5 (batch)Claude Opus 5Claude Opus 5 (batch)Claude Opus 4.8Claude Opus 4.8 (batch)Claude Opus 4.7Claude Opus 4.7 (batch)Claude Opus 4.6Claude Opus 4.6 (batch)Claude Opus 4.5Claude Opus 4.5 (batch)Claude Opus 4.1Claude Opus 4.1 (batch)
Other variants tracked
Mistral Medium 3.5Mistral Medium 3.5 (batch)Mistral Small 4Mistral Large 3 2512Mistral Medium 3.1Mistral Medium 3Devstral 2 2512Mistral Small 3.1 24BMistral Small 3.2 24BMistral LargeMistral Large 2407Mistral Small 3SabaMinistral 3 14B 2512Mixtral 8x22B InstructMinistral 3 8B 2512Ministral 3 3B 2512UncensoredCodestral 2508Voxtral Small 24B 2507Mistral Nemo

Frequently asked questions

Is Mistral Large 4 as good as Claude Opus 5.5?

Mistral Large 4 is open-weight and competitive on many tasks, but Claude Opus 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 Opus 5.5 is API-only and cannot be self-hosted.

How much cheaper is Mistral Large 4?

Mistral Large 4 costs $4.18/M output vs $20/M for Claude Opus 5.5 — roughly 5x cheaper via API, and free if you self-host.

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

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