Model comparison 2026

Claude Haiku 5.5 vs Mistral Large 4

Claude Haiku 5.5
Anthropic · Budget · Proprietary
$0.22/1M · 1M ctx
Mistral Large 4
Mistral · Balanced · Open weights
$1.10/1M · 1.0M ctx

Community vote

Pick a winner in each dimension. You can change your vote any time.

Output Quality
Correctness and depth of what it produces
Agentic Ability
Tool calls, instruction-following, and multi-step tasks
Speed
Tokens per second and time-to-first-token
Value for money
How much capability you get per dollar
Reliability
Consistent results: fewer refusals, loops and format breaks

Specs and pricing side by side

Spec
Haiku 5.5
Mistral Large 4
Maker
Anthropic
Mistral
Blended price / 1M
$0.22
$1.10
Input / output
$0.10 in · $0.50 out / 1M tokens
$0.68 in · $2.09 out / 1M tokens
Context window
1M
1.0M
Open weights
No
Yes
Tool use
Yes
Yes
Reasoning
Yes
Yes
Output Quality
8.2
7.6
Agentic Ability
7.6
7.1
Speed
9.5
7.0
Value for money
8.4
5.9
Reliability
9.2
8.8

Pricing and capabilities synced from the OpenRouter catalogue. Scores are editorial (0–10).

Verdict: Haiku 5.5 or Mistral Large 4?

Updated 2026-10-13

Choose Claude Haiku 5.5 if you want subagents, routing and high-volume steps that stay under 100K tokens per request. Choose Mistral Large 4 if you want open-weight, EU-provenance agent work that needs long context and image input.

In our editorial scoring, Claude Haiku 5.5 leads in 5 of five dimensions (output quality, agentic ability, speed, value for money and reliability), while Mistral Large 4 leads in 0. On price, Claude Haiku 5.5 runs about $0.22 per 1M tokens (blended) and is proprietary; Mistral Large 4 is about $1.10 and open-weight.

Where Haiku 5.5 falls short
  • Prompts over 100K tokens cost 5x on the whole request, and 49.7% of the coding-agent requests we measured were that large
  • New tokenizer counts about 30% more tokens than Haiku 4.5 for the same text
Full Haiku 5.5 breakdown →
Where Mistral Large 4 falls short
  • Still a public preview, so behavior and price can change
  • 26.8% in Artificial Analysis's Terminal-Bench 4.0 run, well below the frontier models
Full Mistral Large 4 breakdown →

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