- Home
- LLM comparison
- Claude Haiku 5.5 vs. Mistral Large 4
AnthropicMistral AILLM matchup
Claude Haiku 5.5vs.Mistral Large 4
Which one is better?
Mistral Large 4 does not have enough benchmark results yet. Claude Haiku 5.5 is cheaper: Mistral Large 4 costs 7 times (input) and 4.2 times (output) as much.
Claude Haiku 5.5
Rank 20
Mistral Large 4
not ranked yet
Claude Haiku 5.5
Mistral Large 4
Claude Haiku 5.5
Mistral Large 4
Claude Haiku 5.5
Rank 3 of 875
Mistral Large 4
Rank 173 of 875
Above 100,000 tokens of context, Claude Haiku 5.5 costs more: $0.50 input and $2.50 output per 1M tokens.
Choose Claude Haiku 5.5 for
Choose Mistral Large 4 for
No clear advantage
On this page
Where is the difference?
Strengths at a glance
Haiku 5.5Mistral Large 4
The median of all ranked models is below 100 in every area, so it sits in the centre of the net.
95 % range: Haiku 5.5 102.5 to 109.9, Mistral Large 4 89.9 to 101.8.
The same values and verdicts as the bars below. In the top field the net starts at 100 points, the reference group average; values below sit as a hollow point in the centre. Not in the net because a model has no own value there or the data are too thin: Mathematics, Knowledge, Multimodal, Finance, Legal, Health.
Haiku 5.5 is ahead in 4 of 9 areas, Mistral Large 4 in none.
Haiku 5.5 ahead: 4too little data: 5
Bar length shows the gap in index points (full width 15 points, one standard deviation of the reference group). Solid means clearly ahead, hatched not certain yet, a thin grey bar level.
Show 3 more areas that do not count toward the overall index
Bar length shows the gap in index points (full width 15 points, one standard deviation of the reference group). Solid means clearly ahead, hatched not certain yet, a thin grey bar level.
Claude Haiku 5.5 vs. Mistral Large 4 at the same effort
Both models measured at the same reasoning efforts. This shows whether a lead comes from the model or only from more compute.
| Effort | Haiku 5.5 | Mistral Large 4 | Gap | Verdict | Test series |
|---|---|---|---|---|---|
| medium | 90.4 | n/a | 1.8 | tied | 10 |
| high | 96.6 | n/a | 4.0 | Haiku 5.5 slightly ahead | 9 |
| Overall index (max vs. high) | 103.4 | n/a | n/a | only Haiku 5.5 has a score |
Gap and verdict compare only the Artificial Analysis test series in which both models are measured at that effort. Tied below 3 points, ahead only beyond two standard errors. The single values rest on all test series of each model, so their difference can deviate from the gap.
Which model for which task?
Everyday tasks, translated from the area values above. Each row names the values it rests on.
See for yourself: same task, one attempt
SVG short test
One SVG task with the same fixed settings for every model, without hidden thinking.
Prompt
Return only one standalone SVG of a pelican riding a bicycle. Use viewBox="0 0 800 600", simple shapes, two clearly visible wheels and a recognizable pelican with a long beak. At most 30 SVG elements and 1800 characters. No Markdown, explanations, comments, scripts, animation, CSS or external resources.
Claude Haiku 5.5
Unavailable in this round
Mistral Large 4

Oct 14, 2026 · $0.0012
Test details
- Test run
- Oct 14, 2026
- Provider
- mistral
- API model
- mistralai/mistral-large-4-0
- Output
- 564 tokens
- Reasoning
- API reports 0 reasoning tokens
- Cost of the attempt
- $0.0012
- Test round
- 43b8c5c46830
Earlier tests
This is the lowest documented setting for each provider. It does not make compute comparable across models.
Claude Haiku 5.5
Not tested yet
Mistral Large 4

Oct 11, 2026 · 29 s · $0.0061
Test details
- Run date
- Oct 11, 2026
- API provider
- Mistral
- Requested API model
- mistralai/mistral-large-4-0
- Reasoning setting
- none
- Token limit including reasoning
- 8,192 tokens
- Reasoning tokens
- 0
- Output tokens
- 2,936 tokens
- Cost of the attempt
- $0.0061
- Response time
- 28.7 s
- API model reported in response
- mistralai/mistral-large-4-0
- Pinned endpoint
- Mistral | mistralai/mistral-large-4-0-20261006
- Temperature
- Provider default
- Test protocol
- community-visual-low-v1
- Technical checks
- Passed, not a quality rating
Visually reviewed. This individual test does not establish overall model quality.
Popularity compared
How often the models are searched for, used and mentioned, on a scale from 0 to 100.
Claude Haiku 5.5 is more popular than Mistral Large 4: 77 to 45 out of 100.
Over time
Weekly values from October 18, 2026 to November 5, 2026
Claude Haiku 5.5Mistral Large 4
All data side by side
The better value is bold. For the overall index only when the gap is clear.
| Metric | Claude Haiku 5.5 | Mistral Large 4 |
|---|---|---|
| Intelligence | ||
| Overall indexpoints, 100 = reference group average, higher is better | 103.4 | n/a |
| Rank | Rank 20 of 91 | not ranked yet |
| Price per 1M tokens | ||
| Inputwhat you send | $0.10above 100,000 tokens: $0.50 | $0.70 |
| Outputwhat the model writes | $0.50above 100,000 tokens: $2.50 | $2.10 |
| Speed | ||
| Tokens per second | 236 | 111 |
| Popularity | ||
| Popularitysearch, usage and mentions, 0 to 100 | 77Rank 3 of 875 | 45Rank 173 of 875 |
| Technical | ||
| Context windowhow much text the model reads at once | 1 M tokens≈ 1,500 A4 pages | 1.05 M tokens≈ 1,570 A4 pages |
| Knowledge cutoff | June 2026 | n/a |
| Released | Oct 7, 2026 | Oct 6, 2026 |
| Availability | Active | Active |
| Open weights | no | yes |
- Mistral Large 4, Pricing since October 6, 2026: Mistral announced a 50% discount for two weeks: $0.68 input, $2.09 output and $0.07 cache read per 1M tokens instead of $1.36, $4.18 and $0.14. That list price then applied until Mistral lowered it to the current rates with the weights release on October 29. Source
Prices without caching or batch discounts · Page count as a rule of thumb from Artificial Analysis
Is there a better choice?
Overall index 126.1, rank 1. $4 input and $20 output per 1M tokens.
Haiku 5.5 vs. Claude Opus 5.5Shared benchmarks
Single results from the same benchmark version, task and metric. A value is bold only with the same test setup and a clear gap.
A: Claude Haiku 5.5B: Mistral Large 4
Show 13 more benchmarks
More comparisons
Compare Claude Haiku 5.5 and Mistral Large 4 with the models people compare them with most often.
Compare another matchup
Predecessor and successor
The most popular comparisons
- 1Claude Haiku 5.5 vs. GPT-6 Luna
- 2Claude Sonnet 5.5 vs. Claude Haiku 5.5
- 3Claude Haiku 5.5 vs. DeepSeek V4.1 Flash 1017
- 4Claude Haiku 5.5 vs. DeepSeek-V4-Flash
- 5Claude Haiku 5.5 vs. DeepSeek-V4.1-Flash
- 6Claude Opus 5.5 vs. Claude Haiku 5.5
- 7Claude Haiku 5.5 vs. GLM-5.3
- 8Claude Haiku 5.5 vs. Gemini 3.5 Flash-Lite
- 9Claude Haiku 5.5 vs. Gemini 3.8 Flash
Show all 59 comparisons
- 10Claude Haiku 5.5 vs. Claude Sonnet 4.5
- 11Qwen 3.8 Max 0902 vs. Mistral Large 4
- 12GLM-5.3 vs. Mistral Large 4
- 13Claude Opus 5.5 vs. Mistral Large 4
- 14GLM-5.3-Flash vs. Mistral Large 4
- 15Claude Haiku 5.5 vs. Claude Sonnet 5
- 16Qwen 3.8 27B vs. Mistral Large 4
- 17DeepSeek-V4.1-Flash vs. Mistral Large 4
- 18Claude Haiku 5.5 vs. Claude Opus 5
- 19Claude Haiku 5.5 vs. GPT-6 Astra
- 20Claude Haiku 5.5 vs. Gemini 3.5 Flash
- 21Claude Haiku 5.5 vs. Claude Opus 4.8
- 22Claude Haiku 5.5 vs. Gemini 4 Argon
- 23Claude Haiku 5.5 vs. Grok 4.7
- 24Claude Haiku 5.5 vs. GPT-5.6 Luna
- 25Claude Haiku 5.5 vs. Qwen 3.8 Max 0902
- 26Claude Haiku 5.5 vs. Muse Spark 1.3
- 27Claude Haiku 5.5 vs. Claude Sonnet 4.6
- 28Claude Haiku 5.5 vs. Gemini 3.7 Flash
- 29Claude Haiku 5.5 vs. GPT-6.1 Sol
- 30Claude Haiku 5.5 vs. Gemini 3.1 Pro Preview
- 31Claude Haiku 5.5 vs. GLM-5.3-Flash
- 32Claude Haiku 5.5 vs. DeepSeek-V4-Pro
- 33Claude Opus 5 vs. Mistral Large 4
- 34Claude Haiku 5.5 vs. GPT-5.6 Sol
- 35Claude Haiku 5.5 vs. Gemini 3.6 Flash
- 36Claude Haiku 5.5 vs. Claude Opus 4.6
- 37DeepSeek-V4-Flash vs. Mistral Large 4
- 38Claude Haiku 5.5 vs. Kimi K2.6
- 39Claude Sonnet 5.5 vs. Mistral Large 4
- 40DeepSeek-V4-Pro vs. Mistral Large 4
- 41Kimi K3 vs. Mistral Large 4
- 42GPT-6 Sol vs. Mistral Large 4
- 43DeepSeek V4.1 Flash 1017 vs. Mistral Large 4
- 44Gemini 3.8 Flash vs. Mistral Large 4
- 45Claude Haiku 5.5 vs. Claude Opus 4.7
- 46GPT-6 Luna vs. Mistral Large 4
- 47Claude Fable 5.1 vs. Mistral Large 4
- 48Claude Haiku 5.5 vs. Mistral Large 3
- 49Claude Haiku 5.5 vs. GPT-5.5
- 50Claude Sonnet 4.5 vs. Mistral Large 4
- 51Mistral Large 4 vs. Mistral Large 3
- 52Kimi K2.6 vs. Mistral Large 4
- 53Claude Opus 4.6 vs. Mistral Large 4
- 54Mistral Large 4 vs. Mistral Medium 3.5
- 55Claude Opus 4.8 vs. Mistral Large 4
- 56Gemini 3.5 Flash vs. Mistral Large 4
- 57Claude Haiku 5.5 vs. GPT-6.1 Terra
- 58GPT-6.1 Terra vs. Mistral Large 4
- 59Gemini 4 Carbon vs. Mistral Large 4