The Inference Report

July 6, 2026

The SWE-rebench leaderboard shows no movement since the previous update, the top 24 entries remain identical in rank and score, with OpenAI's gpt-5.5-2026-04-23-xhigh still at 62.7% (±0.91%), Junie's agent at 61.6% (±0.64%), and the rest holding steady through the Claude Sonnet 4.6 at 51.3% (±0.55%) and down to Gemma 4 31B at 16.5% (±1.13%). The confidence intervals are tight enough that no model has shifted position within measurement error. By contrast, the Artificial Analysis benchmark shows substantial reshuffling in the lower ranks, models from position 304 onward have reordered themselves, with Gemma 3 12B Instruct climbing from #345 to #304 (3.4 to 5.5), and LFM2.5-1.2B-Thinking and LFM2.5-1.2B-Instruct swapping positions 364 and 366, but the top 50 models remain in nearly identical order, suggesting the two benchmarks measure overlapping but not identical capabilities. The SWE-rebench methodology, which evaluates agent-based code completion on real repository issues, appears more stable than Artificial Analysis across time, though without historical context it is unclear whether this stability reflects genuine plateau or simply infrequent test runs. The lack of motion in the coding benchmark despite ongoing model releases is noteworthy: neither the latest Claude variants nor new reasoning models have displaced the April OpenAI and Junie entries that occupy the summit.

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 559.961$20.00
2Claude Opus 4.855.751$10.00
3GPT-5.554.880$11.25
4Claude Opus 4.753.547$10.00
5Claude Sonnet 553.478$6.00
6GPT-5.451.4153$5.63
7GLM-5.251.1174$2.15
8Gemini 3.5 Flash50.2199$3.38
9Claude Sonnet 4.647.249$6.00
10Gemini 3.1 Pro Preview46.5134$4.50

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

#Modeltok/s
1Gemini 3.5 Flash199
2Qwen3.7 Max196
3GPT-5.4 mini176
4GLM-5.2174
5GPT-5.4153
6GPT-5.2 Codex138
7Gemini 3.1 Pro Preview134
8MiniMax-M3106
9Nex-N2-Pro104
10DeepSeek V4 Flash103

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