Claude Haiku 5.5 vs Mistral Large 4
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on October 22, 2026· 222 models
Claude Haiku 5.5 is Anthropic's small, fast model for high-volume, cost-sensitive work such as summarization, subagents, and browser use.
- Reasoning estimated
- Speed estimated
- ▲
- Input
- Output
- Context
- 1 M tokens
- Max output
- 128 K
- Input, $ per 1M tokens
- ▲$0.100
- Output, $ per 1M tokens
- ▲$0.500
- Cache read, $ per 1M
- $0.010
- Batch (input / output)
- $0.050 / $0.250
- Tool calling
- Yes
- Released
- ▲10/07/2026
- Knowledge cutoff
- 2026-06
- API id
- anthropic/claude-haiku-5.5
Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads.
- Reasoning estimated
- ▲
- Speed estimated
- Input
- Output
- Context
- ▲1 M tokens
- Max output
- ▲262 K
- Input, $ per 1M tokens
- $1.36
- Output, $ per 1M tokens
- $4.18
- Cache read, $ per 1M
- $0.140
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 10/06/2026
- Knowledge cutoff
- —
- API id
- mistralai/mistral-large-4-0
Which is the better API choice: Claude Haiku 5.5 vs Mistral Large 4?
- Claude Haiku 5.5: cheapest input (93% less than Mistral Large 4)
- Claude Haiku 5.5: cheapest output
- Mistral Large 4: largest context (1 M)
- Claude Haiku 5.5: the newest (10/07/2026)
- Mistral Large 4: most reasoning (estimated)
- Claude Haiku 5.5: the fastest (estimated)
Claude Haiku 5.5 costs 93% less on input and 88% less on output than Mistral Large 4 ($0.100 / $0.500 versus $1.36 / $4.18 per million tokens). Mistral Large 4 accepts more context (1 M). Claude Haiku 5.5 offers a batch tier at half price for jobs that do not need an immediate answer.
What would your product cost?
Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.
With Claude Haiku 5.5 you save $33.62 a month versus Mistral Large 4 (91% less).
The 6 cheapest for this scenario (chat, last 12 months)
- 1Lyria 3 Clip Preview Google$0.00
- 2Lyria 3 Pro Preview Google$0.00
- 3Qwen3.7 Flash Qwen$0.97
- 4Qwen3.5-9B Qwen$1.72
- 5Ministral 3 3B 2512 Mistral$1.90
- 6Qwen3.5-Flash Qwen$2.02
Paste your prompt: tokens and cost per model
Rough estimate (about 4 characters per token). Nothing is sent to any server.
Cost of sending it 1,000 times (input only)
- 1Claude Haiku 5.5 Anthropic$0.008
- 2Mistral Large 4 Mistral$0.103
- 3Claude Sonnet 5.5 Anthropic$0.152
- 4Claude Sonnet 5 Anthropic$0.152
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.1 Anthropic$0.760
- 8Claude Fable 5 Anthropic$0.760
Popular comparisons
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Frequently asked questions
Which is the better API choice: Claude Haiku 5.5 vs Mistral Large 4?
Claude Haiku 5.5 costs 93% less on input and 88% less on output than Mistral Large 4 ($0.100 / $0.500 versus $1.36 / $4.18 per million tokens). Mistral Large 4 accepts more context (1 M). Claude Haiku 5.5 offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: Claude Haiku 5.5 and Mistral Large 4?
Claude Haiku 5.5 is cheaper: $0.100 per million input tokens and $0.500 per million output tokens, versus $1.36 / $4.18 for Mistral Large 4.
Which has more context: Claude Haiku 5.5 and Mistral Large 4?
Mistral Large 4 accepts 1 M tokens of context; Claude Haiku 5.5 accepts 1 M.
Which is newer: Claude Haiku 5.5 and Mistral Large 4?
Claude Haiku 5.5 was released on 10/07/2026; Mistral Large 4 on 10/06/2026.
What would 10,000 requests a month cost with Claude Haiku 5.5 and Mistral Large 4?
With 1,500 input and 400 output tokens per request: Claude Haiku 5.5: $3.50; Mistral Large 4: $37.12 a month, at list price.
Where do the prices come from and how often are they updated?
From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.
What does price per million tokens mean?
It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.
Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.