Model comparison
Qwen3.7 Plus vs Sarvam 105B
Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Qwen3.7 Plus #21 (Supported); Sarvam 105B #157 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Qwen3.7 Plus and Sarvam 105B share 11 comparable benchmark results. 0 of 8 categories are comparable. 58 results are unique to Qwen3.7 Plus; 0 to Sarvam 105B.
Updated July 23, 2026- Shared results
- 11
- Qwen3.7 Plus only
- 58
- Sarvam 105B only
- 0
- Comparable categories
- 0 / 8
Benchmark data for Qwen3.7 Plus and Sarvam 105B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Qwen3.7 Plus has the larger context window at 1M, compared with 128K for Sarvam 105B.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Qwen3.7 Plus | Δ | Sarvam 105B |
|---|---|---|---|
| Agentic | Qwen3.7 Plus71.7 | MarginNo overlap | Sarvam 105BNot measured |
| Coding | Qwen3.7 Plus75.6 | MarginNo overlap | Sarvam 105BNot measured |
| Reasoning | Qwen3.7 Plus91.7 | MarginNo overlap | Sarvam 105BNot measured |
| Knowledge | Qwen3.7 Plus60.1 | MarginNo overlap | Sarvam 105BNot measured |
| Math | Qwen3.7 Plus92.9 | MarginNo overlap | Sarvam 105BNot measured |
| Multilingual | Qwen3.7 Plus85.4 | MarginNo overlap | Sarvam 105BNot measured |
| Multimodal | Qwen3.7 Plus81.5 | MarginNo overlap | Sarvam 105BNot measured |
| Inst. Following | Qwen3.7 Plus84.5 | MarginNo overlap | Sarvam 105BNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Qwen3.7 Plus | Sarvam 105B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Qwen3.7 PlusNot available | Sarvam 105B$0 input / $0 output | A complete price comparison is not available. |
| Generation speedtokens per second | Qwen3.7 PlusNot available | Sarvam 105BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Qwen3.7 PlusNot available | Sarvam 105BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Qwen3.7 Plus1M | Sarvam 105B128K | Qwen3.7 Plus lists the larger context window. |
Benchmark Deep Dive
Agentic16 benchmarks
| Benchmark | Qwen3.7 Plus | Sarvam 105B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 70.3% | — | Not comparable |
| QwenClawBenchSource | 61.8% | — | Not comparable |
| QwenWebBenchSource | 1536 | — | Not comparable |
| Claw-EvalSource | 62.7% | — | Not comparable |
| BFCL v4Source | 72.9% | — | Not comparable |
| MCP AtlasSource | 73.2% | — | Not comparable |
| VITA-BenchSource | 45.6% | — | Not comparable |
| DeepPlanningSource | 62.3% | — | Not comparable |
| OSWorld-VerifiedSource | 73.3% | — | Not comparable |
| AndroidWorldSource | 81.0% | — | Not comparable |
| AA Agentic IndexSource | 20.8% | — | Not comparable |
| APEX-Agents-AASource | 22.4% | — | Not comparable |
| τ²-bench resultsSource | 93% | 46.8% | Qwen3.7 Plus leads |
| GDPval-AASource | 21.8% | — | Not comparable |
| GDPval-AASource | 936 | — | Not comparable |
| OSWorld 2.0Source | 2.8% | — | Not comparable |
Coding9 benchmarks
| Benchmark | Qwen3.7 Plus | Sarvam 105B | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 70.3% | — | Not comparable |
| SWE-bench VerifiedSource | 77.7% | — | Not comparable |
| SWE-bench ProSource | 57.6% | — | Not comparable |
| SWE MultilingualSource | 75.8% | — | Not comparable |
| NL2RepoSource | 41.1% | — | Not comparable |
| SciCodeSource | 51.3% | — | Not comparable |
| LiveCodeBenchSource | 89.6% | — | Not comparable |
| AA Coding IndexSource | 55.9% | — | Not comparable |
| AA-SciCodeSource | 45.5% | 26.4% | Qwen3.7 Plus leads |
Reasoning3 benchmarks
Knowledge13 benchmarks
| Benchmark | Qwen3.7 Plus | Sarvam 105B | Result |
|---|---|---|---|
| GPQASource | 90.3% | — | Not comparable |
| GPQA-DSource | 90.3% | — | Not comparable |
| HLESource | 34.7% | — | Not comparable |
| MMLU-ProSource | 88.5% | — | Not comparable |
| MMLU-ReduxSource | 94.5% | — | Not comparable |
| SuperGPQASource | 71.4% | — | Not comparable |
| MMMLUSource | 89.0% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 39.0% | 11.9% | Qwen3.7 Plus leads |
| AA-GPQA DiamondSource | 90.0% | 73.8% | Qwen3.7 Plus leads |
| AA-HLESource | 33.4% | 10.1% | Qwen3.7 Plus leads |
| AA-Omniscience IndexSource | 2.4% | -59.5% | Qwen3.7 Plus leads |
| AA-Omniscience AccuracySource | 22.2% | 17.6% | Qwen3.7 Plus leads |
| AA-Omniscience Hallucination RateSource | 25.5% | 93.5% | Qwen3.7 Plus leads |
Math3 benchmarks
Multilingual5 benchmarks
Multimodal17 benchmarks
| Benchmark | Qwen3.7 Plus | Sarvam 105B | Result |
|---|---|---|---|
| MMMU-ProSource | 79% | — | Not comparable |
| MathVisionSource | 90.3% | — | Not comparable |
| CharXivSource | 85.9% | — | Not comparable |
| ERQASource | 69.8% | — | Not comparable |
| MedXpertQA (MM)Source | 71.0% | — | Not comparable |
| ScreenSpot ProSource | 79.0% | — | Not comparable |
| SimpleVQASource | 81.7% | — | Not comparable |
| MMSearch-PlusSource | 41.4% | — | Not comparable |
| RealWorldQASource | 86.9% | — | Not comparable |
| OmniDocBench 1.5Source | 91.4% | — | Not comparable |
| OCRBench V2Source | 70.7% | — | Not comparable |
| ODINW13Source | 51.1% | — | Not comparable |
| Video-MME (with subtitle)Source | 88.0% | — | Not comparable |
| VideoMMMUSource | 85.4% | — | Not comparable |
| MLVU (M-Avg)Source | 87.4% | — | Not comparable |
| AA-MMMU-ProSource | 80.5% | — | Not comparable |
| Design Arena WebsiteSource | 1288 | — | Not comparable |
Frequently Asked Questions (3)
Can I compare Qwen3.7 Plus and Sarvam 105B on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Qwen3.7 Plus and Sarvam 105B today?
Sarvam 105B: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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