Compare Large Language Models

Compare current text-generation listings by API (Application Programming Interface) price, context limit, image input and tool calling. Source: OpenRouter's public catalog, not a benchmark leaderboard.

Source checked: . 442 validated listings. Refresh attempted every six hours when visited.

Prices are OpenRouter-listed USD per million tokens, not necessarily direct-provider rates. A $0 listing can have quotas; it does not mean unlimited free usage. Dates below mean added to this catalog, not model release dates. Context limits and supported features can vary by endpoint. We do not invent parameter counts, licenses or benchmark scores.

442 matching listings. Select up to three to compare.

Sourced model pricing and capabilities; unknown benchmarks are not ranked.
CompareModelCatalog addedContext tokensInput / 1MOutput / 1MCapabilities
XingChen: Xing4.0 29B A4B (free)xingchen-agi/xing4.0-29b-a4b:free2026-10-16262,144$0 listed$0 listedTool calling
Reflection: Beam 1.0 501B A23Breflection/beam-1.0-501b-a23b2026-10-161,048,576$1$3Tool calling
Moondream: Moondream 3 Previewmoondream/moondream3-preview2026-10-1532,000$0.3$2.5Image input
Moondream: Moondream 3.1moondream/moondream3.1-9b-a2b2026-10-1532,000$0.3$2.5Image input
Meta: Muse Spark Openmeta/muse-spark-open2026-10-151,048,576$1.25$4.25Tool calling, Image input
NVIDIA: Nemotron 3.5 Super VLnvidia/nemotron-3.5-super-vl2026-10-151,048,576$0.1$0.4Tool calling, Image input
NVIDIA: Nemotron 3.5 Super VL (free)nvidia/nemotron-3.5-super-vl:free2026-10-151,000,000$0 listed$0 listedTool calling, Image input
Pareto 26.9unbiased/pareto-26.92026-10-13262,144$2.5$7.5Tool calling, Image input
LiquidAI: LFM2.5-24B-A2Bliquid/lfm-2.5-24b-a2b2026-10-13128,000$0.05$0.7Tool calling
Google: Gemini 4 Argongoogle/gemini-4-argon2026-10-131,048,576$2$10Tool calling, Image input
Google: Gemini 4 Argon (batch)google/gemini-4-argon:batch2026-10-131,048,576$1$5Tool calling, Image input
ScaleDown: Summarizescaledown/summarize2026-10-131,000,000$0.04$0 listedImage input
ScaleDown: Extractscaledown/extract2026-10-131,000,000$0.04$0 listedImage input
Meta: Muse Wondermeta/muse-wonder2026-10-121,048,576$4$20Tool calling, Image input
StepFun: Step 5 Previewstepfun/step-5-preview2026-10-081,048,576$1$2.7Tool calling, Image input
Anthropic: Claude Haiku 5.5anthropic/claude-haiku-5.52026-10-071,000,000$0.1$0.5Tool calling, Image input
Anthropic: Claude Haiku 5.5 (batch)anthropic/claude-haiku-5.5:batch2026-10-071,000,000$0.05$0.25Tool calling, Image input
Google: Nano Banana 2.1google/gemini-nano-banana-2.12026-10-0665,536$1.5$7.5Tool calling, Image input
Mistral: Mistral Large 4mistralai/mistral-large-4-02026-10-061,048,576$0.68$2.09Tool calling, Image input
inclusionAI: Ling 3.1 Flashinclusionai/ling-3.1-flash2026-10-02262,144$0.075$0.225Tool calling
OpenAI: GPT-6.1 Sol Proopenai/gpt-6.1-sol-pro2026-09-291,050,000$2$10Tool calling, Image input
OpenAI: GPT-6.1 Sol Pro (batch)openai/gpt-6.1-sol-pro:batch2026-09-291,050,000$1$5Tool calling, Image input
OpenAI: GPT-6.1 Solopenai/gpt-6.1-sol2026-09-291,050,000$2$10Tool calling, Image input
OpenAI: GPT-6.1 Sol (batch)openai/gpt-6.1-sol:batch2026-09-291,050,000$1$5Tool calling, Image input
Anthropic: Claude Sonnet 5.5anthropic/claude-sonnet-5.52026-09-281,000,000$2$10Tool calling, Image input
Anthropic: Claude Sonnet 5.5 (batch)anthropic/claude-sonnet-5.5:batch2026-09-281,000,000$1$5Tool calling, Image input
Perceptron: Perceptron Mk1.5perceptron/perceptron-mk1.52026-09-2536,864$0.15$1.5Tool calling, Image input
Fireworks: Ember-1fireworks/ember-12026-09-241,048,576$3$15Tool calling, Image input
Z.ai: GLM 5.3 Primez-ai/glm-5.3-prime2026-09-231,000,000$2.8$8.8Tool calling
Qwen: Qwen3.8 Max Primeqwen/qwen3.8-max-prime2026-09-231,000,000$4$12Tool calling, Image input

Which model should I choose?

Price and context are constraints, not quality scores. Shortlist models that support your inputs and tools, then measure task accuracy, latency and total cost on the same held-out examples. Check the provider's model card and license before deployment.

Use the evaluation checklist and cost worksheet

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