Compare AI models
| Specifications | ||
ParametersThe learned values that shape how a model responds. B means billion and T means trillion. For mixture-of-experts models, the total count is larger than the number active for each token. Parameter count alone does not measure quality. | — | 480B |
Context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider. | 200k | 256k |
| API pricingUSD per 1M tokens · lower wins | ||
Cheapest inputLowest input rate across every provider on OpenRouter, the lab included. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | — | $0.30DeepInfra |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | — | $1.00DeepInfra |
| — | $110DeepInfra · turbo · fp4 | |
| Benchmarks | ||
BullshitBench v2Nonsense detection — Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | 50% | 20% |
SWE-Bench VerifiedCoding — Real coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | 40.6% | — |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | 41.6% | — |
| Overview | ||
| Company | Anthropic | Qwen |
| Release date | Oct 22 2024 | Jul 22 2025 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Claude 3.5 HaikuvsGPT-6.1 TerraQwen3-CodervsGPT-6.1 TerraClaude 3.5 HaikuvsGemini 4 CarbonQwen3-CodervsGemini 4 CarbonClaude 3.5 HaikuvsMuse Spark OpenQwen3-CodervsMuse Spark OpenClaude 3.5 HaikuvsGrok 4.7Qwen3-CodervsGrok 4.7Claude 3.5 HaikuvsDeepSeek-V4.1-Flash-1017Qwen3-CodervsDeepSeek-V4.1-Flash-1017Claude 3.5 HaikuvsMistral Large 4Qwen3-CodervsMistral Large 4Frequently asked questions
Claude 3.5 Haiku leads Qwen3-Coder on 1 of the 1 benchmark they both report (BullshitBench v2). Claude 3.5 Haiku shipped 273 days before Qwen3-Coder, so benchmark comparisons should account for the intervening progress.
Context windows are 200k (Claude 3.5 Haiku) vs 256k (Qwen3-Coder). Claude 3.5 Haiku is closed, while Qwen3-Coder is open weight.
On BullshitBench v2, Claude 3.5 Haiku leads at 50% vs Qwen3-Coder at 20%.