Capability ranking
Use this instruction-following model leaderboard to compare the current ranking from the LLMBoard Instruction Score after applying benchmark evidence requirements.
Updated 2026-10-22
This leaderboard ranking orders models by their LLMBoard Instruction Score aggregated from eligible benchmark evidence.
Rank | Model | LLMBoard Instruction Score | Context | Official input / 1M | Official output / 1M | Output speed |
|---|
| Rank01 | ModelGO | LLMBoard Instruction Score98.96 | Context1M | Official input / 1M$0.75 | Official output / 1M$3.75 | Output speed55.66 tok/s |
| Rank02 | ModelGO | LLMBoard Instruction Score96.08 | Context1M | Official input / 1M$0.75 | Official output / 1M$3.75 | Output speed409.96 tok/s |
| Rank03 | ModelME | LLMBoard Instruction Score93.70 | Context1M | Official input / 1M$1.25 | Official output / 1M$4.25 | Output speedN/A |
| Rank04 | ModelGO | LLMBoard Instruction Score93.55 | Context1M | Official input / 1M$2 | Official output / 1M$12 | Output speed90.00 tok/s |
| Rank05 | ModelXI | LLMBoard Instruction Score91.51 | Context1M | Official input / 1M$0.435 | Official output / 1M$0.87 | Output speedN/A |
| Rank06 | ModelOP | LLMBoard Instruction Score91.46 | Context400K | Official input / 1M$1.75 | Official output / 1M$14 | Output speed50.00 tok/s |
| Rank07 | ModelAC | LLMBoard Instruction Score89.37 | ContextN/A | Official input / 1MN/A | Official output / 1MN/A | Output speedN/A |
| Rank08 | ModelAC | LLMBoard Instruction Score88.29 | Context1M | Official input / 1M$2.5 | Official output / 1M$7.5 | Output speedN/A |
| Rank09 | ModelAC | LLMBoard Instruction Score88.16 | Context1M | Official input / 1M$2 | Official output / 1M$6 | Output speedN/A |
| Rank10 | ModelOP | LLMBoard Instruction Score87.39 | Context1.1M | Official input / 1M$10 | Official output / 1M$50 | Output speedN/A |
| Rank11 | ModelGO | LLMBoard Instruction Score86.85 | Context1M | Official input / 1M$0.50 | Official output / 1M$3 | Output speedN/A |
| Rank12 | ModelAC | LLMBoard Instruction Score85.64 | Context1M | Official input / 1M$0.40 | Official output / 1M$1.6 | Output speedN/A |
| Rank13 | ModelGO | LLMBoard Instruction Score85.16 | Context1M | Official input / 1M$0.75 | Official output / 1M$3.75 | Output speedN/A |
| Rank14 | ModelMI | LLMBoard Instruction Score84.60 | Context204.8K | Official input / 1M$0.30 | Official output / 1M$1.2 | Output speedN/A |
| Rank15 | ModelME | LLMBoard Instruction Score84.46 | ContextN/A | Official input / 1MN/A | Official output / 1MN/A | Output speedN/A |
| Rank16 | ModelAC | LLMBoard Instruction Score84.24 | Context262.1K | Official input / 1MN/A | Official output / 1MN/A | Output speedN/A |
| Rank17 | ModelOP | LLMBoard Instruction Score84.21 | Context400K | Official input / 1M$1.25 | Official output / 1M$10 | Output speed100.00 tok/s |
| Rank18 | ModelTM | LLMBoard Instruction Score83.66 | Context524.3K | Official input / 1MN/A | Official output / 1MN/A | Output speedN/A |
| Rank19 | ModelNV | LLMBoard Instruction Score83.02 | Context262.1K | Official input / 1MN/A | Official output / 1MN/A | Output speedN/A |
| Rank20 | ModelGO | LLMBoard Instruction Score82.73 | Context1M | Official input / 1M$1.5 | Official output / 1M$9 | Output speedN/A |
| Rank21 | ModelAC | LLMBoard Instruction Score82.30 | Context262.1K | Official input / 1M$0.60 | Official output / 1M$3.6 | Output speedN/A |
| Rank22 | ModelME | LLMBoard Instruction Score81.38 | Context131.1K | Official input / 1MN/A | Official output / 1MN/A | Output speedN/A |
| Rank23 | ModelOP | LLMBoard Instruction Score81.02 | Context1.1M | Official input / 1M$4 | Official output / 1M$20 | Output speed25.46 tok/s |
| Rank24 | ModelAC | LLMBoard Instruction Score80.77 | Context262.1K | Official input / 1M$0.30 | Official output / 1M$2.4 | Output speedN/A |
| Rank25 | ModelGO | LLMBoard Instruction Score80.64 | Context1M | Official input / 1M$0.25 | Official output / 1M$1.5 | Output speedN/A |
| Rank26 | ModelOP | LLMBoard Instruction Score80.59 | Context1.1M | Official input / 1M$5 | Official output / 1M$30 | Output speedN/A |
| Rank27 | ModelME | LLMBoard Instruction Score80.17 | Context1M | Official input / 1M$1.25 | Official output / 1M$4.25 | Output speedN/A |
| Rank28 | ModelAC | LLMBoard Instruction Score80.15 | Context262.1K | Official input / 1MN/A | Official output / 1MN/A | Output speedN/A |
| Rank29 | ModelMA | LLMBoard Instruction Score79.76 | Context1M | Official input / 1M$3 | Official output / 1M$15 | Output speedN/A |
| Rank30 | ModelAC | LLMBoard Instruction Score79.66 | Context262.1K | Official input / 1M$0.40 | Official output / 1M$3.2 | Output speedN/A |
Official PAYG prices appear here. Third-party offers remain on the pricing and model detail pages.
Key findings from the current instruction leaderboard ranking and its supporting benchmark coverage.
Gemini 3.8 Flash leads this page at 98.96, 2.88 points ahead of Gemini 3.7 Flash.
MiMo V2.5 Pro is the highest-ranked open-weight option at #5. Nova Micro has the lowest official input price among ranked models.
The leading instruction scores in this benchmark-backed ranking, with the axis focused on the competitive leaderboard range.
Compare instruction benchmark strength with each model's broader capability score and leaderboard position.
Official vendor API prices plotted against the instruction metric used on this page. Price remains a separate decision signal.
Vendor concentration and model access among the first 25 products in the ranking.
A data-backed look at the first five models in this instruction following leaderboard ranking, including benchmark context, price and output speed where available.
Common questions about the Best AI for Instruction Following leaderboard, benchmark evidence and ranking method.
Gemini 3.8 Flash is currently ranked first with a instruction score of 98.96.
The current leaders are Gemini 3.8 Flash (98.96 LLMBoard Instruction Score), Gemini 3.7 Flash (96.08 LLMBoard Instruction Score), and Muse Spark 1.3 (93.70 LLMBoard Instruction Score).
Nova Micro has the lowest current official input price among ranked models at $0.04 per 1M tokens.
The fastest matched records are Mercury 2 (1,009.00 tok/s via Inception), Llama 4 Scout (776.10 tok/s via Groq), and Llama 4 Maverick (638.70 tok/s via Sambanova).
MiMo V2.5 Pro is the highest-ranked open-weight model at rank #5.
Llama 4 Scout has the largest listed context window at 10M tokens.
Each model appears once using its current scored version. The leaderboard ranking follows the capability named in the title, while the overall page uses the LLMBoard score aggregated from eligible benchmark evidence.
This page currently ranks 181 unique model products.
Main price columns use the model vendor's official standard PAYG API rate. Eligible third-party offers appear only in separately labeled columns, and unavailable official prices display as N/A.
No. Arena results are displayed as an independent signal and are not included in the current LLMBoard capability score.
Ranking basisThis instruction following AI model leaderboard uses the instruction capability score shown on this page. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.
Selection summary
Gemini 3.8 Flash is currently the best-ranked LLM for instruction following with a 98.96 instruction score. The score is a relative ranking signal, so price, speed, context and evidence coverage should still be checked separately.
Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.