finix_s1_32b
98.2%
no interval published
aiqbench · LLM benchmarks
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Filter by org:
Released:
gpt-5.4-nano-2026-03-17
96.9%
no interval published
gemini-2.5-flash-lite
96.7%
no interval published
One grid, every column. Pick axes in the Axes panel — one axis ranks like a single board, several blend into a weighted composite, all of them read as the index. Rank is assigned before any filter and never renumbers.
| Model | Org | ± CI | Swing | Add to compare | |||||
|---|---|---|---|---|---|---|---|---|---|
| 1 | finix_s1_32b | antgroup | — | — | 98.2% | — | — | ||
| 2 | gpt-5.4-nano-2026-03-17 | openai | Oct 2026 | $0.20 / $1.25 | 96.9% | — | #95–222 | ||
| 3 | gemini-2.5-flash-lite | — | $0.10 / $0.40 | 96.7% | — | — | |||
| 4 | Phi-4 | microsoft | Dec 2024 | $0.07 / $0.14 | 96.3% | — | #285–770 | ||
| 5 | Llama-3.3-70B-Instruct-Turbo | meta-llama | — | — | 95.9% | — | — | ||
| 6 | snowflake-arctic-instruct | snowflake | Apr 2024 | — | 95.7% | — | #345–405 | ||
| 7 | gemma-3-12b-it | Mar 2025 | $0.05 / $0.15 | 95.6% | — | #201–558 | |||
| 8 | mistral-large-2411 | mistralai | Nov 2024 | — | 95.5% | — | #239–606 | ||
| 9 | qwen3-8b | qwen | Apr 2025 | $0.12 / $0.46 | 95.2% | — | #277–377 | ||
| 10 | mistral-small-2501 | mistralai | — | — | 94.9% | — | #344–576 | ||
| 11 | nova-2-lite-v1:0 | amazon | — | — | 94.9% | — | — | ||
| 12 | nova-pro-v1:0 | amazon | — | — | 94.9% | — | — | ||
| 13 | gemma-4-26b-a4b-it | Mar 2026 | $0.07 / $0.23 | 94.8% | — | #179–199 | |||
| 14 | granite-4.0-h-small | ibm-granite | — | — | 94.8% | — | — | ||
| 15 | DeepSeek-V3.2-Exp | deepseek-ai | Sep 2025 | $0.27 / $0.41 | 94.7% | — | #92–334 | ||
| 16 | jamba-mini-2 | ai21labs | — | — | 94.7% | — | — | ||
| 17 | qwen3-14b | qwen | Apr 2025 | $0.12 / $0.24 | 94.6% | — | #247–295 | ||
| 18 | DeepSeek-V3.1 | deepseek-ai | Aug 2025 | — | 94.5% | — | #101–158 | ||
| 19 | gpt-5.4-mini-2026-03-17 | openai | Oct 2026 | $0.75 / $4.50 | 94.5% | — | #75–180 | ||
| 20 | nova-micro-v1:0 | amazon | — | — | 94.5% | — | — | ||
| 21 | gpt-4.1-2025-04-14 | openai | Apr 2025 | $2 / $8 | 94.4% | — | #148–546 | ||
| 22 | qwen3-4b | qwen | — | — | 94.3% | — | #273–493 | ||
| 23 | grok-3 | xai-org | — | — | 94.2% | — | #387–451 | ||
| 24 | qwen3-32b | qwen | Apr 2025 | $0.08 / $0.28 | 94.1% | — | #159–289 | ||
| 25 | DeepSeek-V3 | deepseek-ai | Dec 2024 | — | 93.9% | — | #178–644 | ||
| 26 | nova-lite-v1:0 | amazon | — | — | 93.9% | — | — | ||
| 27 | DeepSeek-V3.2 | deepseek-ai | Dec 2025 | $0.28 / $0.42 | 93.7% | — | #86–247 | ||
| 28 | gemma-3-4b-it | Mar 2025 | $0.05 / $0.10 | 93.6% | — | #271–951 | |||
| 29 | gpt-6-sol | openai | Oct 2026 | $2 / $10 | 93.5% | — | #7–53 | ||
| 30 | command-r-plus-08-2024 | CohereLabs | Aug 2024 | $2.50 / $10 | 93.1% | — | #293–575 | ||
| 31 | trinity-large-preview | arcee-ai | Jan 2026 | — | 93.1% | — | #118–489 | ||
| 32 | gemini-2.5-pro | Jun 2025 | $1.25 / $10 | 93.0% | — | #60–432 | |||
| 33 | gpt-5.4-2026-03-05 | openai | Sep 2026 | $2.50 / $15 | 93.0% | — | #12–29 | ||
| 34 | ministral-3b-2410 | mistralai | — | — | 92.7% | — | #425–587 | ||
| 35 | gemma-3-27b-it | Mar 2025 | $0.08 / $0.35 | 92.6% | — | #223–704 |
Showing HHEM Hallucination (Vectara) exactly as the source published it — its own score and confidence interval, no blending. Select a second axis to build a weighted composite.