AI Models · Paid vs Paid

Mistral Large Paid vs Claude Haiku 4.5 Paid

Mistral Large vs Claude Haiku 4.5 compared — price per token, context window, multimodality, openness and which to choose. 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 LargePaidMistral AI
$2 /M input
$6 /M outputManaged API (no infra to run)
TypeProprietary
Context window128K tokens
MultimodalNo
Self-hostNo
Claude Haiku 4.5PaidAnthropic
$1 /M input
$5 /M outputManaged API (no infra to run)
TypeProprietary
Context window200K tokens
MultimodalYes
Self-hostNo
Choose Claude Haiku 4.5 for the lower output price ($5/M vs $6/M). It also gives you the larger 200K context window.

Mistral Large vs Claude Haiku 4.5 specs

SpecMistral LargeClaude Haiku 4.5Winner
MakerMistral AIAnthropic
TypeProprietaryProprietary
Context window128K tokens200K tokensClaude Haiku 4.5
Input price$2/M$1/MClaude Haiku 4.5
Output price$6/M$5/MClaude Haiku 4.5
Vision / multimodalNoYesClaude Haiku 4.5
Tool / function callingYesYes= Tie
Self-hostableNo (API only)No (API only)
LicenseProprietaryProprietary

Price gap & when to choose each

Choose Mistral Large if…
  • You want frontier performance through a managed API
  • You value reliability & ecosystem
  • You don't want to manage infrastructure
Choose Claude Haiku 4.5 if…
  • You want frontier performance through a managed API
  • You need the longer 200K context window
  • You want the lower output price
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

CapabilityMistral LargeClaude Haiku 4.5
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: Mistral Large vs Claude Haiku 4.5

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

Claude Haiku 4.5 delivers 3.8× more intelligence per dollar.
Mistral Large
Claude Haiku 4.5
Intelligence index
6.8
17.6
Math index
0
83.7
GPQA
47.2%
67.2%
MMLU-Pro
68.3%
76%
Humanity's Last Exam
2.9%
10.4%
Long Context Reasoning
2%
74.3%
LiveCodeBench
26.7%
61.5%
MATH-500
71.4%
AIME
9.3%
AIME 2025
0%
83.7%
IFBench
31.6%
54.3%
τ²-Bench
33%
54.7%
Coding index
43.9
SciCode
42.2%
τ-Bench Banking
9.3%
Terminal-Bench
44.2%
Terminal-Bench Hard
27.3%
Speed
0 tok/s
105.5 tok/s
Latency
0s
12.43s
Intelligence per $
2.3
8.8

Benchmark data by Artificial Analysis.

How Mistral Large and Claude Haiku 4.5 score

🏆 Best value & openness: Claude Haiku 4.5 (3.1 vs 2.7 / 5)
CriterionMistral LargeClaude Haiku 4.5
Cost-efficiency4.04.0
Context window3.54.0
Openness1.51.5
Self-hosting1.01.0
Multimodality3.55.0

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 Paid

Mistral AI · Proprietary

This is Mistral AI's flagship model, Mistral Large 2 (version `mistral-large-2407`). It's a proprietary weights-available model and excels at reasoning, code, JSON, chat, and more. Read the launch announcement [here](https://mistral.ai/news

Claude Haiku 4.5 Paid

Anthropic · Proprietary

Claude Haiku 4.5 is Anthropic’s fastest and most efficient model, delivering near-frontier intelligence at a fraction of the cost and latency of larger Claude models. Matching Claude Sonnet 4’s performance...

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 Haiku 4.5 (batch)Claude 3 Haiku

Frequently asked questions

Mistral Large vs Claude Haiku 4.5 — which is cheaper?

Claude Haiku 4.5 is cheaper on output ($5/M vs $6/M).

Which has the larger context window?

Claude Haiku 4.5 offers the larger context window (200K tokens).

Mistral Large vs Claude Haiku 4.5 — which should I pick in 2026?

Choose Claude Haiku 4.5 for the lower output price ($5/M vs $6/M). It also gives you the larger 200K context window.

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