AI4Bharatopen-weight
Released: 2024-01-25Airavata 7B
Instruction-tuned open-source Indic language model supporting 22 official scheduled languages of India.
Intelligence Index
75.0/ 100
Calibrated multi-domain compositeThroughput Speed
140tok/sec
Output streaming throughputTime To First Token
180ms
Initial chunk server latencyLiveBench Contam-Free
65.0%
September 2026 suite scoreSourced Benchmark Evaluations (51)
Verified performance across authoritative benchmarks with provenance tracking.| Benchmark | Status | Score | Trust | Date | Source Type | Provenance |
|---|---|---|---|---|---|---|
| LiveBench (Continuous) | Active | 65% | 94 | 2025-02-01 | independent | Source ↗ |
| ARC-AGI-3 | Active | 47.5% | 93 | 2024-02-29 | independent | Source ↗ |
| ARC-AGI-2 | Nearing Saturation | 56.9% | 75 | 2024-02-22 | independent | Source ↗ |
| FrontierMath | Active | 19.3% | 98 | 2024-02-19 | independent | Source ↗ |
| PutnamBench | Active | 35.9% | 90 | 2024-02-18 | independent | Source ↗ |
| SWE-Lancer | Deprecated | 43.5% | 20 | 2024-02-16 | independent | Source ↗ |
| Omni-MATH | Deprecated | 51.1% | 10 | 2024-02-16 | independent | Source ↗ |
| Soohak | Active | 52.4% | 98 | 2024-02-14 | independent | Source ↗ |
| FrontierCode | Active | 37.1% | 98 | 2024-02-14 | independent | Source ↗ |
| AIME | Nearing Saturation | 65.6% | 75 | 2024-02-12 | independent | Source ↗ |
| StructFlowBench | Nearing Saturation | 58.7% | 75 | 2024-02-12 | independent | Source ↗ |
| Humanity's Last Exam | Active | 32.1% | 93 | 2024-02-12 | independent | Source ↗ |
| OlympiadBench | Active | 56.6% | 80 | 2024-02-11 | independent | Source ↗ |
| MathArena | Active | 55.2% | 99 | 2024-02-10 | independent | Source ↗ |
| Terminal-Bench | Active | 44.8% | 80 | 2024-02-10 | independent | Source ↗ |
| FireBench | Active | 58% | 95 | 2024-02-10 | independent | Source ↗ |
| SimpleQA | Active | 39% | 90 | 2024-02-09 | independent | Source ↗ |
| CodeContests | Deprecated | 41.6% | 10 | 2024-02-09 | independent | Source ↗ |
| ComplexBench | Nearing Saturation | 56.6% | 80 | 2024-02-08 | independent | Source ↗ |
| SWE-bench Pro | Active | 39.7% | 90 | 2024-02-08 | independent | Source ↗ |
| MultiPL-E | Deprecated | 58.9% | 10 | 2024-02-07 | independent | Source ↗ |
| LiveCodeBench | Saturated | 52.5% | 39 | 2024-02-06 | independent | Source ↗ |
| MATH | Saturated | 67.6% | 25 | 2024-02-06 | independent | Source ↗ |
| AgentIF | Nearing Saturation | 46.9% | 80 | 2024-02-06 | independent | Source ↗ |
| Mercury | Deprecated | 56.3% | 10 | 2024-02-05 | independent | Source ↗ |
| MMLU-Pro | Nearing Saturation | 69% | 75 | 2024-02-05 | independent | Source ↗ |
| CyberSecEval | Deprecated | 57.6% | 10 | 2024-02-04 | independent | Source ↗ |
| TabMWP | Saturated | 63.5% | 25 | 2024-02-04 | independent | Source ↗ |
| SWE-bench Verified | Saturated | 49.9% | 25 | 2024-02-03 | independent | Source ↗ |
| MMLU-Redux | Saturated | 73.5% | 25 | 2024-02-03 | independent | Source ↗ |
| SWE-bench | Deprecated | 43.5% | 10 | 2024-02-02 | independent | Source ↗ |
| MGSM | Nearing Saturation | 65.6% | 65 | 2024-02-02 | independent | Source ↗ |
| TruthfulQA | Saturated | 66% | 25 | 2024-02-01 | independent | Source ↗ |
| AGIEval | Saturated | 62.8% | 25 | 2024-02-01 | independent | Source ↗ |
| SuperGLUE | Saturated | 74.5% | 25 | 2024-01-31 | independent | Source ↗ |
| GSM-Hard | Deprecated | 66.2% | 10 | 2024-01-31 | independent | Source ↗ |
| MT-Bench | Nearing Saturation | 7.1% | 75 | 2024-01-30 | independent | Source ↗ |
| BIG-Bench Hard | Saturated | 71.5% | 25 | 2024-01-30 | independent | Source ↗ |
| CodeXGLUE | Deprecated | 60.2% | 23 | 2024-01-30 | independent | Source ↗ |
| MBPP+ | Nearing Saturation | 65.3% | 65 | 2024-01-29 | independent | Source ↗ |
| IFEval | Deprecated | 67.6% | 25 | 2024-01-29 | independent | Source ↗ |
| WinoGrande | Saturated | 75.9% | 28 | 2024-01-29 | independent | Source ↗ |
| GPQA | Nearing Saturation | 66% | 78 | 2024-01-29 | independent | Source ↗ |
| CommonsenseQA | Saturated | 76.7% | 28 | 2024-01-28 | independent | Source ↗ |
| HumanEval+ | Saturated | 69.1% | 25 | 2024-01-28 | independent | Source ↗ |
| GLUE | Saturated | 78.8% | 28 | 2024-01-27 | independent | Source ↗ |
| MBPP | Saturated | 67.8% | 25 | 2024-01-27 | independent | Source ↗ |
| GSM8K | Saturated | 74.5% | 25 | 2024-01-27 | independent | Source ↗ |
| MMLU | Saturated | 76.5% | 25 | 2024-01-26 | independent | Source ↗ |
| HumanEval | Saturated | 73% | 25 | 2024-01-26 | independent | Source ↗ |
| ARC-AGI | Saturated | 68.6% | 25 | 2024-01-26 | independent | Source ↗ |
Local Hardware Execution (Ollama)Hardware Compatible
# 1. Pull and execute model locally with Ollama
ollama run airavata-7b
# 2. Or invoke via local OpenAI-compatible endpoint
curl http://localhost:11434/v1/chat/completions \
-H "Content-Type: application/json" \
-d '{
"model": "airavata-7b",
"messages": [{"role": "user", "content": "Analyze reasoning chains on AIME 2026"}]
}'Evaluation & Sourcing Notes
Scores listed for Airavata 7B represent verified evaluations extracted from official research papers, independent evaluation suites (HELM, LMSYS, OpenCompass, LiveBench), and verified audit reports.
All benchmarks marked as saturated or deprecated reflect historical performance where the benchmark no longer provides active discriminative power.