Model comparison
Command R vs GPT-5.1-Codex
GPT-5.1-Codex is the stronger model overall, scoring 38.6 to 31.4 on the Noometry Index. Command R costs 13× less per token, which makes it the better buy when GPT-5.1-Codex's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in coding, where GPT-5.1-Codex leads 41.9 to 29.3.
- Command R is cheaper at $0.15 / $0.60 per million input/output tokens, against $1.25 / $10 for GPT-5.1-Codex.
- GPT-5.1-Codex accepts more context: 400K tokens versus 128K.
- Command R has downloadable open weights; the other is API-only.
Side by side
| Command R | GPT-5.1-Codex | |
|---|---|---|
| Provider | Cohere | OpenAI |
| Noometry Index | 31.4 | 38.6 |
| Released | 2024-08-30 | 2025-11-12 |
| Weights | Open | Proprietary |
| Context window | 128K | 400K |
| Max output | 4K | 128K |
| Input $ / M tokens | $0.15 | $1.25 |
| Output $ / M tokens | $0.60 | $10 |
| Results tracked | 29 | 6 |
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Category by category
Coding GPT-5.1-Codex leads
Command R: 29.3 (#306), GPT-5.1-Codex: 41.9 (#116)
| Benchmark | Command R | GPT-5.1-Codex |
|---|---|---|
| SWE-bench Verified (bash only) | — | 66% |
| LMArena WebDev | — | 1337 |
| BigCodeBench Instruct | 37.1% | — |
| LiveBench Coding | 17.9% | — |
| LMArena Coding | 1169 | — |
| BigCodeBench Complete | 45.2% | — |
| ALE-Bench | — | 1,245 |
Agentic & Tool Use Not comparable
Command R: —, GPT-5.1-Codex: 38.0 (#33)
| Benchmark | Command R | GPT-5.1-Codex |
|---|---|---|
| Terminal-Bench | — | 60.4% |
| METR Time Horizons | — | 70.8% |
Reasoning Not comparable
Command R: 13.8 (#331), GPT-5.1-Codex: —
| Benchmark | Command R | GPT-5.1-Codex |
|---|---|---|
| LiveBench Reasoning | 21.9% | — |
| LMArena Hard Prompts | 1164 | — |
| DTBench | 46.4% | — |
| LiveBench Data Analysis | 33.3% | — |
| LMCA | 9.2% | — |
| LiveBench | 27.5% | — |
Math GPT-5.1-Codex leads
Command R: 28.0 (#246), GPT-5.1-Codex: 30.3 (#235)
| Benchmark | Command R | GPT-5.1-Codex |
|---|---|---|
| ProofBench | — | 9% |
| LiveBench Math | 19.4% | — |
| LMArena Math | 1155 | — |
Knowledge Not comparable
Command R: 31.0 (#221), GPT-5.1-Codex: —
| Benchmark | Command R | GPT-5.1-Codex |
|---|---|---|
| LMArena Expert | 1138 | — |
| MMLU | 65.2% | — |
Multilingual Not comparable
Command R: 35.7 (#245), GPT-5.1-Codex: —
| Benchmark | Command R | GPT-5.1-Codex |
|---|---|---|
| LMArena Non-English | 1174 | — |
| LMArena Chinese | 1182 | — |
| LMArena French | 1162 | — |
| LMArena German | 1176 | — |
| LMArena Japanese | 1143 | — |
| LMArena Korean | 1163 | — |
| LMArena Russian | 1174 | — |
| LMArena Spanish | 1151 | — |
Instruction Following Not comparable
Command R: 58.1 (#261), GPT-5.1-Codex: —
| Benchmark | Command R | GPT-5.1-Codex |
|---|---|---|
| LiveBench Instruction Following | 55.6% | — |
| LMArena Instruction Following | 1167 | — |
Long Context Not comparable
Command R: 36.3 (#231), GPT-5.1-Codex: —
| Benchmark | Command R | GPT-5.1-Codex |
|---|---|---|
| LMArena Longer Query | 1198 | — |
Writing & Preference Not comparable
Command R: 38.2 (#254), GPT-5.1-Codex: —
| Benchmark | Command R | GPT-5.1-Codex |
|---|---|---|
| LMArena Text | 1187 | — |
| LMArena Creative Writing | 1170 | — |
| LMArena Multi-Turn | 1163 | — |
| LiveBench Language | 16.7% | — |
Frequently asked questions
Is Command R better than GPT-5.1-Codex?
GPT-5.1-Codex is the stronger model overall, scoring 38.6 to 31.4 on the Noometry Index. Command R costs 13× less per token, which makes it the better buy when GPT-5.1-Codex's lead doesn't matter for your workload.
Which is cheaper, Command R or GPT-5.1-Codex?
Command R is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; GPT-5.1-Codex lists at $1.25 and $10.
Is Command R or GPT-5.1-Codex better for coding?
GPT-5.1-Codex scores higher on coding benchmarks: 41.9 versus 29.3 in the Noometry coding category.
Which has the bigger context window?
GPT-5.1-Codex does, with 400K tokens against 128K.
How many benchmarks do Command R and GPT-5.1-Codex share?
0 benchmarks have published results for both models. Command R has 29 scored results on Noometry and GPT-5.1-Codex has 6.