- Score
- 8.6 (+3.46 points)
- Total Cost (Current Price)
- $0.061 · 51.9% cheaper
- Response Time (avg)
- 7.51s · 40.8% faster
Summary
Mistral Small 4 scores 5.1 on AI BENCHY and ranks #352. It has 9.7 reliability, a 42.0% pass rate, $0.126 total cost, and 12.68s average response time.
Recommended alternatives
We recommend choosing one of these models instead:
- Score
- 5.2 (+0.07 points)
- Total Cost (Current Price)
- $0.004 · 97.3% cheaper
- Response Time (avg)
- 3.40s · 73.2% faster
- Score
- 5.0 (-0.15 points)
- Total Cost (Current Price)
- $0.000 · 100.0% cheaper
- Response Time (avg)
- 5.36s · 57.7% faster
Model facts
Researched on 2026-08-12
- Parameters
- 119B total (6B active)
- Architecture
- MoE
- Availability
- Open source
- License
- Apache-2.0
The vendor also reports 8B active when embeddings are included; UI uses routed active parameters.
5.1
Consistency
7.1
9.7
Total Output Tokens
127,970
Total Input Tokens
321,955
Input Price
$0.150 / 1M
Output Price
$0.600 / 1M
Cache Read Price
$0.015 / 1M
Cache Write Price
N/A
Cache prices apply to input tokens. Reads reuse cached prompts; writes store them and can cost extra. Output tokens use the output price.
Flaky tests
8
Flaky tests had mixed outcomes across runs (at least one pass and one fail).
Hamster playing table tennis
Prompt: Create a detailed SVG illustration of a hamster playing table tennis.
#352 Mistral Small 4
medium- Cost
- $0.006
- Time
- 47.9s
- Tokens
- 9,857 tok
Run history
| Tested on | Score | Reliability | Tests Correct | Total Cost | Compare |
|---|---|---|---|---|---|
| 2026-10-01 01:29 Re-test | 5.1 | 9.7 | $0.126 ↑ | Current run | |
| 2026-07-16 22:23 New test added | 5.1 | 10.0 | $0.096 | Compare | |
| 2026-06-04 13:43 New test added | 5.3 | 10.0 | $0.068 | Compare | |
| 2026-05-22 00:16 Suite changed | 5.4 | 10.0 | $0.056 | Compare | |
| 2026-04-11 01:44 First recorded run | 5.7 | N/A | $0.034 | Compare |
This run used a different benchmark suite. Keep suite changes in mind when reading historical movement.
Run comparison
| Run | Benchmark coverage | Score | Consistency | Reliability | Tests Correct | Flaky tests | Total Output Tokens | Total Input Tokens | Total Cost | Response Time (avg) |
|---|---|---|---|---|---|---|---|---|---|---|
| 2026-10-01 01:29 · Current run | 69/69 attempts | 5.1 | 7.1 | 9.7 | 5/23 | 8 | 127,970 | 321,955 | $0.126 | 12.68s |
| 2026-06-04 13:43 · New test added | 63/63 attempts | 5.3 | 6.9 | 10.0 | 5/21 | 8 | 108,862 | 42,576 | $0.068 | 9.40s |
| Difference | — | -0.2 | +0.2 | -0.3 | 0 | 0 | +19108 | +279379 | +$0.059 | +3281ms |
Benchmark coverage differs: 69/69 attempts (Target: 3 repeats per test) versus 63/63 attempts (Target: 3 repeats per test). Totals and repeat-sensitive metrics are not directly comparable.
These two runs used different benchmark suites, so the deltas reflect both model changes and suite changes.
Price History
Historical pricing data for this model from OpenRouter.
| Date | Input Price | Output Price | Cache Read Price | Cache Write Price |
|---|---|---|---|---|
| 2026-08-14 12:51 | $0.150 / 1M | $0.600 / 1M | N/A | N/A |
| 2026-10-01 18:33 | $0.150 / 1M | $0.600 / 1M | $0.015 / 1M | N/A |
Charts
Choose the first model, then click a second model to open a side-by-side page.
Top Models by Score
Score vs Total Cost
Response Time (avg)
Score vs Response Time (avg)
Total Output Tokens
Score vs Total Output Tokens
Quick Compare
Category Breakdown
| Category | Score | Consistency | Tests Correct |
|---|---|---|---|
| Agentic | 5.0 | 10.0 | |
| Anti-AI Tricks | 5.6 | 3.8 | |
| Coding | 4.4 | 5.1 | |
| Combined | 3.0 | 10.0 | |
| Data parsing and extraction | 7.3 | 5.9 | |
| Domain specific | 5.9 | 7.2 | |
| General Intelligence | 4.8 | 10.0 | |
| Instructions following | 7.3 | 5.8 | |
| Puzzle Solving | 3.4 | 9.7 | |
| Tool Calling | 10.0 | 10.0 | |
| Trivia | 3.0 | 10.0 |