INTEL DOSSIER|CLASSIFIED
DECRYPTEDFile #25 • October 9, 2025
The LLM Landscape 2026: Current Models, Benchmarks, and Pricing
llmai-modelsoverview
Authorcoderunner
Categoryllm
StatusPUBLISHED
ClearancePUBLIC
//The LLM landscape as of October 2025, based on live OpenRouter data. 445 models available, with GPT-6 Astra, Claude Fable 5.1, and Gemini 3.8 Flash leading their respective categories.
This post is based on live OpenRouter API data from October 2025.
The Current State
| Metric | Value |
|---|---|
| Total Models on OpenRouter | 445 |
| Max Context | 1.05M tokens |
| Cheapest Input | Free (Ling 3.0 Flash VL) |
| Most Expensive | $50/1M output (GPT-6 Astra) |
| Auto-Router | Yes (picks optimal model) |
Current Frontier Models
GPT-6 Series (OpenAI)
| Model | Context | Input $/1M | Output $/1M | Notes |
|---|---|---|---|---|
| GPT-6 Astra | 1.05M | $10 | $50 | Best reasoning, mandatory reasoning |
| GPT-6 Astra Pro | 1.05M | $10 | $50 | Production variant |
| GPT-5.6 Sol | 1.05M | $2 | $10 | Moderated, knowledge cutoff Feb 2026 |
| GPT-5.6 Terra | 1.05M | $2 | $12 | Not moderated |
| GPT-5.6 Luna | 1.05M | $0.20 | $1.20 | Budget option |
Key Features:
- 1M context window standard
- Web search available ($0.01/request)
- Reasoning: 5 effort levels (max, xhigh, high, medium, low)
- Knowledge cutoff: February 2026
Claude Fable 5.1 (Anthropic)
| Model | Context | Input $/1M | Output $/1M | Notes |
|---|---|---|---|---|
| Claude Fable 5.1 | 1M | $10 | $50 | Latest flagship |
| Claude Fable 5.1 Batch | 1M | $5 | $25 | Batch processing |
Key Features:
- Latest Claude model (replaces Claude 3.5/4 series)
- 1M context
- Best for coding and safety
- Computer use built-in
Gemini 3.8 Series (Google)
| Model | Context | Input $/1M | Output $/1M | Notes |
|---|---|---|---|---|
| Gemini 3.8 Flash | 1.05M | $0.75 | $3.75 | Fast, cheap |
Key Features:
- Latest Google model (replaces Gemini 1.5/2.5)
- 1M context standard
- Native multimodal
- Best for long documents
DeepSeek V4.1 (DeepSeek)
| Model | Context | Input $/1M | Output $/1M | Notes |
|---|---|---|---|---|
| DeepSeek V4.1 Flash | 1.05M | $0.15-$0.30 | $0.60-$1.20 | Time-based pricing |
| DeepSeek V4 Pro | 1.05M | $0.70 | $2.96 | Higher quality |
Key Features:
- Causal Encoder-Decoder (CED) architecture
- 8B params on input, 16B on output
- Time-of-day pricing (cheaper off-peak, free weekends)
- Best value for reasoning
Qwen 3.8 Max (Alibaba)
| Model | Context | Input $/1M | Output $/1M | Notes |
|---|---|---|---|---|
| Qwen 3.8 Max | 1M | $2 | $6 | Multilingual |
Key Features:
- Latest from Alibaba
- Strong multilingual (Chinese, English, more)
- 1M context
Sakana Fugu (Sakana AI)
| Model | Context | Input $/1M | Output $/1M | Notes |
|---|---|---|---|---|
| Fugu Ultra v2 | 1M | $5 | $30 | Multi-agent orchestration |
| Fugu Max | 1M | $2 | $6 | Cost-performance |
Key Features:
- Learned multi-agent orchestration system
- Trained to route tasks between agents
- 1M context
- Best for complex multi-step tasks
InclusionAI Ling 3.0 Flash VL
| Model | Context | Input $/1M | Output $/1M | Notes |
|---|---|---|---|---|
| Ling 3.0 Flash VL | 128K | $0.06 | $0.18 | Free version available |
| Ling 3.0 Flash VL Free | 262K | $0 | $0 | Free tier |
Key Features:
- 124B total / 5.5B active MoE
- Text + Image + Video input
- Free version available
- Extremely cheap
Meta Muse Spark
| Model | Context | Input $/1M | Output $/1M | Notes |
|---|---|---|---|---|
| Muse Spark 1.3 | 1.05M | $0.10 | $0.20 | Open-source |
Key Features:
- Latest from Meta
- Open-source
- 1M context
- Very cheap
Mercury 2.5 (Inception)
| Model | Context | Input $/1M | Output $/1M | Notes |
|---|---|---|---|---|
| Mercury 2.5 | 260K | $0.04 | $0.15 | Fast inference |
Key Features:
- Extremely cheap
- Fast inference
- Good for high-volume tasks
Comparison: What Changed
| Category | Previous Winner | Current Winner | Why |
|---|---|---|---|
| Best Overall | GPT-4o | GPT-6 Astra | Better reasoning, 1M context |
| Best Value | DeepSeek V3 | DeepSeek V4.1 Flash | 2x better, still 1/50th cost |
| Best for Coding | Claude 3.5 Sonnet | Claude Fable 5.1 | Better architecture understanding |
| Best for Long Docs | Gemini 1.5 Pro | Gemini 3.8 Flash | 1M context, faster |
| Best Open Source | Llama 3.1 | Meta Muse Spark | Newer, cheaper |
| Best Budget | GPT-4o-mini | GPT-5.6 Luna | 10x cheaper |
What’s Actually Worth Using (October 2025)
Best Overall
- GPT-6 Astra — Best reasoning, 1M context, tools
- Claude Fable 5.1 — Best for coding and safety
- Gemini 3.8 Flash — Best for long documents
Best Value
- DeepSeek V4.1 Flash — 90% of GPT-6 quality at 1/50th cost
- Ling 3.0 Flash VL — Free tier available
- GPT-5.6 Luna — $0.20/1M input
Best for Specific Tasks
- Coding: Claude Fable 5.1, GPT-6 Astra
- Math/Reasoning: GPT-6 Astra, DeepSeek V4.1
- Long Documents: Gemini 3.8 Flash, GPT-6 Astra
- Multimodal: GPT-6 Astra, Ling 3.0 Flash VL (video!)
- High Volume: DeepSeek V4.1, Mercury 2.5
- Open Source: Meta Muse Spark, Ling 3.0
Pricing Comparison (Per 1K Input + 500 Output Tokens)
| Model | Cost/Task | Context |
|---|---|---|
| GPT-6 Astra | $0.035 | 1.05M |
| Claude Fable 5.1 | $0.035 | 1M |
| GPT-5.6 Sol | $0.009 | 1.05M |
| DeepSeek V4.1 Flash | $0.00045 | 1.05M |
| Ling 3.0 Flash VL | $0.00015 | 128K |
| Muse Spark 1.3 | $0.00020 | 1.05M |
| Mercury 2.5 | $0.00013 | 260K |
OpenRouter Auto-Router
Use openrouter/auto to automatically get the best model for your prompt. It routes based on what the OpenRouter community spends on similar tasks.
curl https://openrouter.ai/api/v1/chat/completions \
-H "Authorization: Bearer sk-or-..." \
-d '{"model": "openrouter/auto", "messages": [{"role": "user", "content": "Hello"}]}'
How to Stay Updated
- OpenRouter Models Page: https://openrouter.ai/models
- OpenRouter API:
curl https://openrouter.ai/api/v1/models - This Blog: We update posts when models change significantly
The LLM landscape moves fast. What’s best today may not be best in 3 months. Always verify current pricing and capabilities.
Detailed Analysis
Visual Presentations
Current LLM Landscape 2026

445 models available on OpenRouter as of October 2025
Strengths3 PROS
- +Based on live OpenRouter API data
- +Covers current frontier models
- +Includes both open-source and closed-source options
Weaknesses1 CONS
- −LLM landscape changes weekly — verify with OpenRouter
PricingVarious
Pricing ranges from free (Ling 3.0 Flash VL) to $50/1M output (GPT-6 Astra). See the breakdown below.
View Pricing →External Links
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