The Inference Report

July 5, 2026

The SWE-rebench leaderboard shows no movement from the previous snapshot, with OpenAI's gpt-5.5-2026-04-23-xhighModel holding position one at 62.7% plus or minus 0.91%, followed by JunieJunieAgent at 61.6% plus or minus 0.64% and OpenAICodexAgent at 60.4% plus or minus 1.37%. The top ten entries remain unchanged in both rank and score, suggesting either a reporting cycle without new evaluations or that uncertainty bounds are absorbing natural variation. The Artificial Analysis benchmark, by contrast, shows modest reordering in the middle ranks, particularly around positions 172 and 173 where Mistral Small 3.1 and Mistral Medium 3.1 swapped places, and near 256 and 257 where two Nemotron variants shifted, though these appear to reflect tie-breaking rather than meaningful performance divergence. At the lower end of the Artificial Analysis list, several models remain clustered at single-digit scores, indicating a floor effect where the benchmark may lack discriminative power. Neither benchmark dataset exhibits the kind of systematic improvement across the field that would signal a methodological shift or a cohort of new models with substantially different capabilities, making it difficult to characterize today's results as reflecting genuine progress rather than reporting stability.

Cole Brennan

Daily rankings from SWE-rebench, a benchmark designed to fairly compare LLM capabilities on real-world software engineering tasks. Unlike other evaluations, it uses a standardized scaffolding for all models, continuously updates its dataset to prevent contamination, and runs each model five times to account for stochastic variance.

#ModelScore
1OpenAIgpt-5.5-2026-04-23-xhighModel62.7%± 0.91%
2JunieJunieAgent61.6%± 0.64%
3OpenAICodexAgent60.4%± 1.37%
4AnthropicClaude CodeAgent59.6%± 1.98%
5OpenAIgpt-5.5-2026-04-23-mediumModel58.9%± 0.78%
6AnthropicClaude Opus 4.8-xhighModel56.5%± 1.20%
7OpenAIgpt-5.4-2026-03-05-mediumModel54.9%± 1.02%
8AnthropicClaude Opus 4.7-highModel53.1%± 1.45%
9CursorCursorAgent53.0%± 0.53%
10AnthropicClaude Sonnet 4.6Model51.3%± 0.55%

Artificial Analysis composite index across coding, math, and reasoning benchmarks.

#ModelScoretok/s$/1M
1Claude Fable 559.962$20.00
2Claude Opus 4.855.757$10.00
3GPT-5.554.892$11.25
4Claude Opus 4.753.547$10.00
5Claude Sonnet 553.479$6.00
6GPT-5.451.4155$5.63
7GLM-5.251.1175$2.15
8Gemini 3.5 Flash50.2210$3.38
9Claude Sonnet 4.647.260$6.00
10Gemini 3.1 Pro Preview46.5138$4.50

Output tokens per second — higher is faster. Minimum intelligence score of 40.

#Modeltok/s
1Gemini 3.5 Flash210
2Qwen3.7 Max200
3GLM-5.2175
4GPT-5.4 mini165
5GPT-5.4155
6Gemini 3.1 Pro Preview138
7Nex-N2-Pro124
8GPT-5.2 Codex122
9MiniMax-M3105
10GPT-5.3 Codex95

Blended cost per 1M tokens (3:1 input/output) — lower is cheaper. Minimum intelligence score of 40.

#Model$/1M
1DeepSeek V4 Flash$0.175
2MiMo-V2.5$0.175
3MiniMax-M3$0.525
4DeepSeek V4 Pro$0.544
5MiMo-V2.5-Pro$0.544
6Nex-N2-Pro$1.00
7MiMo-V2-Pro$1.50
8GPT-5.4 mini$1.69
9Kimi K2.6$1.71
10Kimi K2.7 Code$1.71